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GitHub - allenai/allennlp: An open-source NLP research library, built on PyTorch.

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flex-justify-between flex-items-center width-full width-lg-auto"> <div class="flex-1"> <button aria-label="Toggle navigation" aria-expanded="false" type="button" data-view-component="true" class="js-details-target js-nav-padding-recalculate js-header-menu-toggle Button--link Button--medium Button d-lg-none color-fg-inherit p-1"> <span class="Button-content"> <span class="Button-label"><div class="HeaderMenu-toggle-bar rounded my-1"></div> <div class="HeaderMenu-toggle-bar rounded my-1"></div> <div class="HeaderMenu-toggle-bar rounded my-1"></div></span> </span> </button> </div> <a class="mr-lg-3 color-fg-inherit flex-order-2 js-prevent-focus-on-mobile-nav" href="/" aria-label="Homepage" data-analytics-event="{&quot;category&quot;:&quot;Marketing nav&quot;,&quot;action&quot;:&quot;click to go to homepage&quot;,&quot;label&quot;:&quot;ref_page:Marketing;ref_cta:Logomark;ref_loc:Header&quot;}"> <svg height="32" aria-hidden="true" viewBox="0 0 24 24" version="1.1" width="32" data-view-component="true" class="octicon octicon-mark-github"> <path d="M12 1C5.9225 1 1 5.9225 1 12C1 16.8675 4.14875 20.9787 8.52125 22.4362C9.07125 22.5325 9.2775 22.2025 9.2775 21.9137C9.2775 21.6525 9.26375 20.7862 9.26375 19.865C6.5 20.3737 5.785 19.1912 5.565 18.5725C5.44125 18.2562 4.905 17.28 4.4375 17.0187C4.0525 16.8125 3.5025 16.3037 4.42375 16.29C5.29 16.2762 5.90875 17.0875 6.115 17.4175C7.105 19.0812 8.68625 18.6137 9.31875 18.325C9.415 17.61 9.70375 17.1287 10.02 16.8537C7.5725 16.5787 5.015 15.63 5.015 11.4225C5.015 10.2262 5.44125 9.23625 6.1425 8.46625C6.0325 8.19125 5.6475 7.06375 6.2525 5.55125C6.2525 5.55125 7.17375 5.2625 9.2775 6.67875C10.1575 6.43125 11.0925 6.3075 12.0275 6.3075C12.9625 6.3075 13.8975 6.43125 14.7775 6.67875C16.8813 5.24875 17.8025 5.55125 17.8025 5.55125C18.4075 7.06375 18.0225 8.19125 17.9125 8.46625C18.6138 9.23625 19.04 10.2125 19.04 11.4225C19.04 15.6437 16.4688 16.5787 14.0213 16.8537C14.42 17.1975 14.7638 17.8575 14.7638 18.8887C14.7638 20.36 14.75 21.5425 14.75 21.9137C14.75 22.2025 14.9563 22.5462 15.5063 22.4362C19.8513 20.9787 23 16.8537 23 12C23 5.9225 18.0775 1 12 1Z"></path> </svg> </a> <div class="flex-1 flex-order-2 text-right"> <a href="/login?return_to=https%3A%2F%2Fgithub.com%2Fallenai%2Fallennlp" class="HeaderMenu-link HeaderMenu-button d-inline-flex d-lg-none flex-order-1 f5 no-underline border color-border-default rounded-2 px-2 py-1 color-fg-inherit js-prevent-focus-on-mobile-nav" data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;site header menu&quot;,&quot;repository_id&quot;:null,&quot;auth_type&quot;:&quot;SIGN_UP&quot;,&quot;originating_url&quot;:&quot;https://github.com/allenai/allennlp&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="61968e8628694a82670ea610c983ad58b31f236876340319fec111be4e73bb82" data-analytics-event="{&quot;category&quot;:&quot;Marketing nav&quot;,&quot;action&quot;:&quot;click to Sign in&quot;,&quot;label&quot;:&quot;ref_page:Marketing;ref_cta:Sign in;ref_loc:Header&quot;}" > Sign in </a> </div> </div> <div class="HeaderMenu js-header-menu height-fit position-lg-relative d-lg-flex flex-column flex-auto top-0"> <div class="HeaderMenu-wrapper d-flex flex-column flex-self-start flex-lg-row flex-auto rounded rounded-lg-0"> <nav class="HeaderMenu-nav" aria-label="Global"> <ul class="d-lg-flex list-style-none"> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Product <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;github_copilot&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;github_copilot_link_product_navbar&quot;}" href="https://github.com/features/copilot"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z"></path><path d="M14.5 14.25a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Zm-5 0a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Copilot</div> Write better code with AI </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;github_advanced_security&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;github_advanced_security_link_product_navbar&quot;}" href="https://github.com/security/advanced-security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Advanced Security</div> Find and fix vulnerabilities </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;actions&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;actions_link_product_navbar&quot;}" href="https://github.com/features/actions"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-workflow color-fg-subtle mr-3"> <path d="M1 3a2 2 0 0 1 2-2h6.5a2 2 0 0 1 2 2v6.5a2 2 0 0 1-2 2H7v4.063C7 16.355 7.644 17 8.438 17H12.5v-2.5a2 2 0 0 1 2-2H21a2 2 0 0 1 2 2V21a2 2 0 0 1-2 2h-6.5a2 2 0 0 1-2-2v-2.5H8.437A2.939 2.939 0 0 1 5.5 15.562V11.5H3a2 2 0 0 1-2-2Zm2-.5a.5.5 0 0 0-.5.5v6.5a.5.5 0 0 0 .5.5h6.5a.5.5 0 0 0 .5-.5V3a.5.5 0 0 0-.5-.5ZM14.5 14a.5.5 0 0 0-.5.5V21a.5.5 0 0 0 .5.5H21a.5.5 0 0 0 .5-.5v-6.5a.5.5 0 0 0-.5-.5Z"></path> </svg> <div> <div class="color-fg-default h4">Actions</div> Automate any workflow </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;codespaces&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;codespaces_link_product_navbar&quot;}" href="https://github.com/features/codespaces"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-codespaces color-fg-subtle mr-3"> <path d="M3.5 3.75C3.5 2.784 4.284 2 5.25 2h13.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0 1 18.75 13H5.25a1.75 1.75 0 0 1-1.75-1.75Zm-2 12c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v4a1.75 1.75 0 0 1-1.75 1.75H3.25a1.75 1.75 0 0 1-1.75-1.75ZM5.25 3.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h13.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Zm-2 12a.25.25 0 0 0-.25.25v4c0 .138.112.25.25.25h17.5a.25.25 0 0 0 .25-.25v-4a.25.25 0 0 0-.25-.25Z"></path><path d="M10 17.75a.75.75 0 0 1 .75-.75h6.5a.75.75 0 0 1 0 1.5h-6.5a.75.75 0 0 1-.75-.75Zm-4 0a.75.75 0 0 1 .75-.75h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1-.75-.75Z"></path> </svg> <div> <div class="color-fg-default h4">Codespaces</div> Instant dev environments </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;issues&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;issues_link_product_navbar&quot;}" href="https://github.com/features/issues"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-issue-opened color-fg-subtle mr-3"> <path d="M12 1c6.075 0 11 4.925 11 11s-4.925 11-11 11S1 18.075 1 12 5.925 1 12 1ZM2.5 12a9.5 9.5 0 0 0 9.5 9.5 9.5 9.5 0 0 0 9.5-9.5A9.5 9.5 0 0 0 12 2.5 9.5 9.5 0 0 0 2.5 12Zm9.5 2a2 2 0 1 1-.001-3.999A2 2 0 0 1 12 14Z"></path> </svg> <div> <div class="color-fg-default h4">Issues</div> Plan and track work </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;code_review&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;code_review_link_product_navbar&quot;}" href="https://github.com/features/code-review"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-code-review color-fg-subtle mr-3"> <path d="M10.3 6.74a.75.75 0 0 1-.04 1.06l-2.908 2.7 2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M1.5 4.25c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v12.5a1.75 1.75 0 0 1-1.75 1.75h-9.69l-3.573 3.573A1.458 1.458 0 0 1 5 21.043V18.5H3.25a1.75 1.75 0 0 1-1.75-1.75ZM3.25 4a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h2.5a.75.75 0 0 1 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1.75 1ZM1.5 2.75v9.5c0 .138.112.25.25.25h2a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h6.5a.25.25 0 0 0 .25-.25v-9.5a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25Z"></path><path d="M22.5 8.75a.25.25 0 0 0-.25-.25h-3.5a.75.75 0 0 1 0-1.5h3.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 22.25 20H21v1.543a1.457 1.457 0 0 1-2.487 1.03L15.939 20H10.75A1.75 1.75 0 0 1 9 18.25v-1.465a.75.75 0 0 1 1.5 0v1.465c0 .138.112.25.25.25h5.5a.75.75 0 0 1 .53.22l2.72 2.72v-2.19a.75.75 0 0 1 .75-.75h2a.25.25 0 0 0 .25-.25v-9.5Z"></path> </svg> <div> <div class="color-fg-default h4">Discussions</div> Collaborate outside of code </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;code_search&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;code_search_link_product_navbar&quot;}" href="https://github.com/features/code-search"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-code-square color-fg-subtle mr-3"> <path d="M10.3 8.24a.75.75 0 0 1-.04 1.06L7.352 12l2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M2 3.75C2 2.784 2.784 2 3.75 2h16.5c.966 0 1.75.784 1.75 1.75v16.5A1.75 1.75 0 0 1 20.25 22H3.75A1.75 1.75 0 0 1 2 20.25Zm1.75-.25a.25.25 0 0 0-.25.25v16.5c0 .138.112.25.25.25h16.5a.25.25 0 0 0 .25-.25V3.75a.25.25 0 0 0-.25-.25Z"></path> </svg> <div> <div class="color-fg-default h4">Code Search</div> Find more, search less </div> </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="product-explore-heading">Explore</span> <ul class="list-style-none f5" aria-labelledby="product-explore-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;all_features&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;all_features_link_product_navbar&quot;}" href="https://github.com/features"> All features </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" 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</li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Solutions <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 pb-lg-3 mb-3 mb-lg-0"> <span class="d-block h4 color-fg-default my-1" id="solutions-by-company-size-heading">By company size</span> <ul class="list-style-none f5" aria-labelledby="solutions-by-company-size-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;enterprises&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;enterprises_link_solutions_navbar&quot;}" href="https://github.com/enterprise"> Enterprises </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;small_and_medium_teams&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;small_and_medium_teams_link_solutions_navbar&quot;}" href="https://github.com/team"> Small and medium teams </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;startups&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;startups_link_solutions_navbar&quot;}" href="https://github.com/enterprise/startups"> Startups </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;nonprofits&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;nonprofits_link_solutions_navbar&quot;}" href="/solutions/industry/nonprofits"> Nonprofits </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="solutions-by-use-case-heading">By use case</span> <ul class="list-style-none f5" aria-labelledby="solutions-by-use-case-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;devsecops&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;devsecops_link_solutions_navbar&quot;}" href="/solutions/use-case/devsecops"> DevSecOps </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;devops&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;devops_link_solutions_navbar&quot;}" href="/solutions/use-case/devops"> DevOps </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;ci_cd&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;ci_cd_link_solutions_navbar&quot;}" href="/solutions/use-case/ci-cd"> CI/CD </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;view_all_use_cases&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;view_all_use_cases_link_solutions_navbar&quot;}" href="/solutions/use-case"> View all use cases </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="solutions-by-industry-heading">By industry</span> <ul class="list-style-none f5" aria-labelledby="solutions-by-industry-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;healthcare&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;healthcare_link_solutions_navbar&quot;}" href="/solutions/industry/healthcare"> Healthcare </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;financial_services&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;financial_services_link_solutions_navbar&quot;}" href="/solutions/industry/financial-services"> Financial services </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;manufacturing&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;manufacturing_link_solutions_navbar&quot;}" href="/solutions/industry/manufacturing"> Manufacturing </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;government&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;government_link_solutions_navbar&quot;}" href="/solutions/industry/government"> Government </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;view_all_industries&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;view_all_industries_link_solutions_navbar&quot;}" href="/solutions/industry"> View all industries </a></li> </ul> </div> </div> <div class="HeaderMenu-trailing-link rounded-bottom-2 flex-shrink-0 mt-lg-4 px-lg-4 py-4 py-lg-3 f5 text-semibold"> <a href="/solutions"> View all solutions <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-right HeaderMenu-trailing-link-icon"> <path d="M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z"></path> </svg> </a> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Resources <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="resources-topics-heading">Topics</span> <ul class="list-style-none f5" aria-labelledby="resources-topics-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;ai&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;ai_link_resources_navbar&quot;}" href="/resources/articles/ai"> AI </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;devops&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;devops_link_resources_navbar&quot;}" href="/resources/articles/devops"> DevOps </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;security&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;security_link_resources_navbar&quot;}" href="/resources/articles/security"> Security </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;software_development&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;software_development_link_resources_navbar&quot;}" href="/resources/articles/software-development"> Software Development </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;view_all&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;view_all_link_resources_navbar&quot;}" href="/resources/articles"> View all </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="resources-explore-heading">Explore</span> <ul class="list-style-none f5" aria-labelledby="resources-explore-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;learning_pathways&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;learning_pathways_link_resources_navbar&quot;}" href="https://resources.github.com/learn/pathways"> Learning Pathways <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;events_amp_webinars&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;events_amp_webinars_link_resources_navbar&quot;}" href="https://resources.github.com"> Events &amp; Webinars <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;ebooks_amp_whitepapers&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;ebooks_amp_whitepapers_link_resources_navbar&quot;}" href="https://github.com/resources/whitepapers"> Ebooks &amp; Whitepapers </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;customer_stories&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;customer_stories_link_resources_navbar&quot;}" href="https://github.com/customer-stories"> Customer Stories </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;partners&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;partners_link_resources_navbar&quot;}" href="https://partner.github.com"> Partners <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;executive_insights&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;executive_insights_link_resources_navbar&quot;}" href="https://github.com/solutions/executive-insights"> Executive Insights </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Open Source <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 px-lg-4"> <div class="HeaderMenu-column"> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative 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href="https://github.com/readme"> <div> <div class="color-fg-default h4">The ReadME Project</div> GitHub community articles </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="open-source-repositories-heading">Repositories</span> <ul class="list-style-none f5" aria-labelledby="open-source-repositories-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;topics&quot;,&quot;context&quot;:&quot;open_source&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;topics_link_open_source_navbar&quot;}" href="https://github.com/topics"> Topics </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;trending&quot;,&quot;context&quot;:&quot;open_source&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;trending_link_open_source_navbar&quot;}" href="https://github.com/trending"> Trending </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;collections&quot;,&quot;context&quot;:&quot;open_source&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;collections_link_open_source_navbar&quot;}" href="https://github.com/collections"> Collections </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Enterprise <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 px-lg-4"> <div class="HeaderMenu-column"> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;enterprise_platform&quot;,&quot;context&quot;:&quot;enterprise&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;enterprise_platform_link_enterprise_navbar&quot;}" href="/enterprise"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-stack color-fg-subtle mr-3"> <path d="M11.063 1.456a1.749 1.749 0 0 1 1.874 0l8.383 5.316a1.751 1.751 0 0 1 0 2.956l-8.383 5.316a1.749 1.749 0 0 1-1.874 0L2.68 9.728a1.751 1.751 0 0 1 0-2.956Zm1.071 1.267a.25.25 0 0 0-.268 0L3.483 8.039a.25.25 0 0 0 0 .422l8.383 5.316a.25.25 0 0 0 .268 0l8.383-5.316a.25.25 0 0 0 0-.422Z"></path><path d="M1.867 12.324a.75.75 0 0 1 1.035-.232l8.964 5.685a.25.25 0 0 0 .268 0l8.964-5.685a.75.75 0 0 1 .804 1.267l-8.965 5.685a1.749 1.749 0 0 1-1.874 0l-8.965-5.685a.75.75 0 0 1-.231-1.035Z"></path><path d="M1.867 16.324a.75.75 0 0 1 1.035-.232l8.964 5.685a.25.25 0 0 0 .268 0l8.964-5.685a.75.75 0 0 1 .804 1.267l-8.965 5.685a1.749 1.749 0 0 1-1.874 0l-8.965-5.685a.75.75 0 0 1-.231-1.035Z"></path> </svg> <div> <div class="color-fg-default h4">Enterprise platform</div> AI-powered developer platform </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="enterprise-available-add-ons-heading">Available add-ons</span> <ul class="list-style-none f5" aria-labelledby="enterprise-available-add-ons-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;github_advanced_security&quot;,&quot;context&quot;:&quot;enterprise&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;github_advanced_security_link_enterprise_navbar&quot;}" href="https://github.com/security/advanced-security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Advanced Security</div> Enterprise-grade security features </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;copilot_for_business&quot;,&quot;context&quot;:&quot;enterprise&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;copilot_for_business_link_enterprise_navbar&quot;}" href="/features/copilot/copilot-business"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 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2.573A1.458 1.458 0 0 1 3 15.543V14H1.75A1.75 1.75 0 0 1 0 12.25v-9.5C0 1.784.784 1 1.75 1ZM1.5 2.75v9.5c0 .138.112.25.25.25h2a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h6.5a.25.25 0 0 0 .25-.25v-9.5a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25Z"></path><path d="M22.5 8.75a.25.25 0 0 0-.25-.25h-3.5a.75.75 0 0 1 0-1.5h3.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 22.25 20H21v1.543a1.457 1.457 0 0 1-2.487 1.03L15.939 20H10.75A1.75 1.75 0 0 1 9 18.25v-1.465a.75.75 0 0 1 1.5 0v1.465c0 .138.112.25.25.25h5.5a.75.75 0 0 1 .53.22l2.72 2.72v-2.19a.75.75 0 0 1 .75-.75h2a.25.25 0 0 0 .25-.25v-9.5Z"></path> </svg> <div> <div class="color-fg-default h4">Premium Support</div> Enterprise-grade 24/7 support </div> </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <a class="HeaderMenu-link no-underline 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href=\"https://raw.githubusercontent.com/allenai/allennlp/main/docs/img/allennlp-logo-dark.png\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/allenai/allennlp/main/docs/img/allennlp-logo-dark.png\" width=\"400\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n \u003cp dir=\"auto\"\u003e\n An Apache 2.0 NLP research library, built on PyTorch, for developing state-of-the-art deep learning models on a wide variety of linguistic tasks.\n \u003c/p\u003e\n \u003chr\u003e\n\u003c/div\u003e\n\u003cp align=\"center\" dir=\"auto\"\u003e\n \u003ca href=\"https://github.com/allenai/allennlp/actions\"\u003e\n \u003cimg alt=\"CI\" src=\"https://github.com/allenai/allennlp/workflows/CI/badge.svg?event=push\u0026amp;branch=main\" style=\"max-width: 100%;\"\u003e\n \u003c/a\u003e\n \u003ca href=\"https://pypi.org/project/allennlp/\" rel=\"nofollow\"\u003e\n \u003cimg alt=\"PyPI\" src=\"https://camo.githubusercontent.com/3b7c339d09307c0ae6368ccc662eb4fd995f431f56345501af1a9dc0cd8322aa/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f616c6c656e6e6c70\" data-canonical-src=\"https://img.shields.io/pypi/v/allennlp\" style=\"max-width: 100%;\"\u003e\n \u003c/a\u003e\n \u003ca href=\"https://github.com/allenai/allennlp/blob/main/LICENSE\"\u003e\n \u003cimg alt=\"License\" src=\"https://camo.githubusercontent.com/de6875d7cb16af9e70d4d10846283af503ea1e71c1017a50cfc1302620c7e2dc/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f616c6c656e61692f616c6c656e6e6c702e7376673f636f6c6f723d626c756526636163686564726f70\" data-canonical-src=\"https://img.shields.io/github/license/allenai/allennlp.svg?color=blue\u0026amp;cachedrop\" style=\"max-width: 100%;\"\u003e\n \u003c/a\u003e\n \u003ca href=\"https://codecov.io/gh/allenai/allennlp\" rel=\"nofollow\"\u003e\n \u003cimg alt=\"Codecov\" src=\"https://camo.githubusercontent.com/d12e932571714d9434a6899b3983836c3fed0e4e71db5dc128e92d6743d0d71d/68747470733a2f2f636f6465636f762e696f2f67682f616c6c656e61692f616c6c656e6e6c702f6272616e63682f6d61696e2f67726170682f62616467652e737667\" data-canonical-src=\"https://codecov.io/gh/allenai/allennlp/branch/main/graph/badge.svg\" style=\"max-width: 100%;\"\u003e\n \u003c/a\u003e\n \u003ca href=\"https://optuna.org\" rel=\"nofollow\"\u003e\n \u003cimg alt=\"Optuna\" src=\"https://camo.githubusercontent.com/2d717f8916e2f54a43eb32b459078002272d8fc2b8bd6f9bf8d5bec6ea0bc200/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4f7074756e612d696e74656772617465642d626c7565\" data-canonical-src=\"https://img.shields.io/badge/Optuna-integrated-blue\" style=\"max-width: 100%;\"\u003e\n \u003c/a\u003e\n \u003cbr\u003e\n\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cg-emoji class=\"g-emoji\" alias=\"warning\"\u003e⚠️\u003c/g-emoji\u003e \u003cstrong\u003eNOTICE:\u003c/strong\u003e The AllenNLP library is now in maintenance mode. That means we are no longer adding new features or upgrading dependencies. We will still respond to questions and address bugs as they arise up until December 16th, 2022. If you have any concerns or are interested in maintaining AllenNLP going forward, please open an issue on this repository.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAllenNLP has been a big success, but as the field is advancing quickly it's time to focus on new initiatives. We're working hard to make \u003ca href=\"https://github.com/allenai/tango\"\u003eAI2 Tango\u003c/a\u003e the best way to organize research codebases. If you are an active user of AllenNLP, here are some suggested alternatives:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eIf you like the trainer, the configuration language, or are simply looking for a better way to manage your experiments, check out \u003ca href=\"https://github.com/allenai/tango\"\u003eAI2 Tango\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003eIf you like AllenNLP's \u003ccode\u003emodules\u003c/code\u003e and \u003ccode\u003enn\u003c/code\u003e packages, check out \u003ca href=\"https://github.com/delmaksym/allennlp-light\"\u003edelmaksym/allennlp-light\u003c/a\u003e. It's even compatible with \u003ca href=\"https://github.com/allenai/tango\"\u003eAI2 Tango\u003c/a\u003e!\u003c/li\u003e\n\u003cli\u003eIf you like the framework aspect of AllenNLP, check out \u003ca href=\"https://github.com/flairNLP/flair\"\u003eflair\u003c/a\u003e. It has multiple state-of-art NLP models and allows you to easily use pretrained embeddings such as those from transformers.\u003c/li\u003e\n\u003cli\u003eIf you like the AllenNLP metrics package, check out \u003ca href=\"https://torchmetrics.readthedocs.io/en/stable/\" rel=\"nofollow\"\u003etorchmetrics\u003c/a\u003e. It has the same API as AllenNLP, so it should be a quick learning curve to make the switch.\u003c/li\u003e\n\u003cli\u003eIf you want to vectorize text, try \u003ca href=\"https://github.com/huggingface/transformers\"\u003ethe transformers library\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003eIf you want to maintain the AllenNLP Fairness or Interpret components, please get in touch. There is no alternative to it, so we are looking for a dedicated maintainer.\u003c/li\u003e\n\u003cli\u003eIf you are concerned about other AllenNLP functionality, please create an issue. Maybe we can find another way to continue supporting your use case.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eQuick Links\u003c/h2\u003e\u003ca id=\"user-content-quick-links\" class=\"anchor\" aria-label=\"Permalink: Quick Links\" href=\"#quick-links\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003cg-emoji class=\"g-emoji\" alias=\"arrow_upper_right\"\u003e↗️\u003c/g-emoji\u003e \u003ca href=\"https://allennlp.org/\" rel=\"nofollow\"\u003eWebsite\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e🔦 \u003ca href=\"https://guide.allennlp.org/\" rel=\"nofollow\"\u003eGuide\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e🖼 \u003ca href=\"https://gallery.allennlp.org\" rel=\"nofollow\"\u003eGallery\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e💻 \u003ca href=\"https://demo.allennlp.org\" rel=\"nofollow\"\u003eDemo\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e📓 \u003ca href=\"https://docs.allennlp.org/\" rel=\"nofollow\"\u003eDocumentation\u003c/a\u003e ( \u003ca href=\"https://docs.allennlp.org/latest/\" rel=\"nofollow\"\u003elatest\u003c/a\u003e | \u003ca href=\"https://docs.allennlp.org/stable/\" rel=\"nofollow\"\u003estable\u003c/a\u003e | \u003ca href=\"https://docs.allennlp.org/main/\" rel=\"nofollow\"\u003ecommit\u003c/a\u003e )\u003c/li\u003e\n\u003cli\u003e⬆️ \u003ca href=\"https://github.com/allenai/allennlp/discussions/4933\" data-hovercard-type=\"discussion\" data-hovercard-url=\"/allenai/allennlp/discussions/4933/hovercard\"\u003eUpgrade Guide from 1.x to 2.0\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e❓ \u003ca href=\"https://stackoverflow.com/questions/tagged/allennlp\" rel=\"nofollow\"\u003eStack Overflow\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e✋ \u003ca href=\"/allenai/allennlp/blob/main/CONTRIBUTING.md\"\u003eContributing Guidelines\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e🤖 \u003ca href=\"https://github.com/allenai/allennlp-models\"\u003eOfficially Supported Models\u003c/a\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/allenai/allennlp-models/blob/main/allennlp_models/pretrained.py\"\u003ePretrained Models\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://docs.allennlp.org/models/\" rel=\"nofollow\"\u003eDocumentation\u003c/a\u003e ( \u003ca href=\"https://docs.allennlp.org/models/latest/\" rel=\"nofollow\"\u003elatest\u003c/a\u003e | \u003ca href=\"https://docs.allennlp.org/models/stable/\" rel=\"nofollow\"\u003estable\u003c/a\u003e | \u003ca href=\"https://docs.allennlp.org/models/main/\" rel=\"nofollow\"\u003ecommit\u003c/a\u003e )\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e⚙️ \u003ca href=\"https://github.com/allenai/allennlp/actions\"\u003eContinuous Build\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e🌙 \u003ca href=\"https://pypi.org/project/allennlp/#history\" rel=\"nofollow\"\u003eNightly Releases\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eIn this README\u003c/h2\u003e\u003ca id=\"user-content-in-this-readme\" class=\"anchor\" aria-label=\"Permalink: In this README\" href=\"#in-this-readme\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"#getting-started-using-the-library\"\u003eGetting Started Using the Library\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#plugins\"\u003ePlugins\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#package-overview\"\u003ePackage Overview\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#installation\"\u003eInstallation\u003c/a\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"#installing-via-pip\"\u003eInstalling via pip\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#installing-using-docker\"\u003eInstalling using Docker\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#installing-from-source\"\u003eInstalling from source\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#running-allennlp\"\u003eRunning AllenNLP\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#issues\"\u003eIssues\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#contributions\"\u003eContributions\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#citing\"\u003eCiting\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#team\"\u003eTeam\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eGetting Started Using the Library\u003c/h2\u003e\u003ca id=\"user-content-getting-started-using-the-library\" class=\"anchor\" aria-label=\"Permalink: Getting Started Using the Library\" href=\"#getting-started-using-the-library\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf you're interested in using AllenNLP for model development, we recommend you check out the\n\u003ca href=\"https://guide.allennlp.org\" rel=\"nofollow\"\u003eAllenNLP Guide\u003c/a\u003e for a thorough introduction to the library, followed by our more advanced guides\non \u003ca href=\"https://github.com/allenai/allennlp/discussions/categories/guides\"\u003eGitHub Discussions\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWhen you're ready to start your project, we've created a couple of template repositories that you can use as a starting place:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eIf you want to use \u003ccode\u003eallennlp train\u003c/code\u003e and config files to specify experiments, use \u003ca href=\"https://github.com/allenai/allennlp-template-config-files\"\u003ethis\ntemplate\u003c/a\u003e. We recommend this approach.\u003c/li\u003e\n\u003cli\u003eIf you'd prefer to use python code to configure your experiments and run your training loop, use\n\u003ca href=\"https://github.com/allenai/allennlp-template-python-script\"\u003ethis template\u003c/a\u003e. There are a few\nthings that are currently a little harder in this setup (loading a saved model, and using\ndistributed training), but otherwise it's functionality equivalent to the config files\nsetup.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eIn addition, there are external tutorials:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://medium.com/optuna/hyperparameter-optimization-for-allennlp-using-optuna-54b4bfecd78b\" rel=\"nofollow\"\u003eHyperparameter optimization for AllenNLP using Optuna\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://medium.com/ai2-blog/tutorial-how-to-train-with-multiple-gpus-in-allennlp-c4d7c17eb6d6\" rel=\"nofollow\"\u003eTraining with multiple GPUs in AllenNLP\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://medium.com/ai2-blog/tutorial-training-on-larger-batches-with-less-memory-in-allennlp-1cd2047d92ad\" rel=\"nofollow\"\u003eTraining on larger batches with less memory in AllenNLP\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://medium.com/ai2-blog/tutorial-how-to-upload-transformer-weights-and-tokenizers-from-allennlp-to-huggingface-ecf6c0249bf\" rel=\"nofollow\"\u003eHow to upload transformer weights and tokenizers from AllenNLP to HuggingFace\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eAnd others on the \u003ca href=\"https://medium.com/ai2-blog/allennlp/home\" rel=\"nofollow\"\u003eAI2 AllenNLP blog\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ePlugins\u003c/h2\u003e\u003ca id=\"user-content-plugins\" class=\"anchor\" aria-label=\"Permalink: Plugins\" href=\"#plugins\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAllenNLP supports loading \"plugins\" dynamically. A plugin is just a Python package that\nprovides custom registered classes or additional \u003ccode\u003eallennlp\u003c/code\u003e subcommands.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThere is ecosystem of open source plugins, some of which are maintained by the AllenNLP\nteam here at AI2, and some of which are maintained by the broader community.\u003c/p\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003ctbody\u003e\u003ctr\u003e\n \u003ctd\u003e\u003cb\u003e Plugin \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e\u003cb\u003e Maintainer \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e\u003cb\u003e CLI \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e\u003cb\u003e Description \u003c/b\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e \u003ca href=\"https://github.com/allenai/allennlp-models\"\u003e\u003cb\u003eallennlp-models\u003c/b\u003e\u003c/a\u003e \u003c/td\u003e\n \u003ctd\u003e AI2 \u003c/td\u003e\n \u003ctd\u003e No \u003c/td\u003e\n \u003ctd\u003e A collection of state-of-the-art models \u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e \u003ca href=\"https://github.com/allenai/allennlp-semparse\"\u003e\u003cb\u003eallennlp-semparse\u003c/b\u003e\u003c/a\u003e \u003c/td\u003e\n \u003ctd\u003e AI2 \u003c/td\u003e\n \u003ctd\u003e No \u003c/td\u003e\n \u003ctd\u003e A framework for building semantic parsers \u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e \u003ca href=\"https://github.com/allenai/allennlp-server\"\u003e\u003cb\u003eallennlp-server\u003c/b\u003e\u003c/a\u003e \u003c/td\u003e\n \u003ctd\u003e AI2 \u003c/td\u003e\n \u003ctd\u003e Yes \u003c/td\u003e\n \u003ctd\u003e A simple demo server for serving models \u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e \u003ca href=\"https://github.com/himkt/allennlp-optuna\"\u003e\u003cb\u003eallennlp-optuna\u003c/b\u003e\u003c/a\u003e \u003c/td\u003e\n \u003ctd\u003e \u003ca href=\"https://himkt.github.io/profile/\" rel=\"nofollow\"\u003eMakoto Hiramatsu\u003c/a\u003e \u003c/td\u003e\n \u003ctd\u003e Yes \u003c/td\u003e\n \u003ctd\u003e \u003ca href=\"https://optuna.org/\" rel=\"nofollow\"\u003eOptuna\u003c/a\u003e integration for hyperparameter optimization \u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cp dir=\"auto\"\u003eAllenNLP will automatically find any official AI2-maintained plugins that you have installed,\nbut for AllenNLP to find personal or third-party plugins you've installed,\nyou also have to create either a local plugins file named \u003ccode\u003e.allennlp_plugins\u003c/code\u003e\nin the directory where you run the \u003ccode\u003eallennlp\u003c/code\u003e command, or a global plugins file at \u003ccode\u003e~/.allennlp/plugins\u003c/code\u003e.\nThe file should list the plugin modules that you want to be loaded, one per line.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eTo test that your plugins can be found and imported by AllenNLP, you can run the \u003ccode\u003eallennlp test-install\u003c/code\u003e command.\nEach discovered plugin will be logged to the terminal.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eFor more information about plugins, see the \u003ca href=\"https://docs.allennlp.org/main/api/common/plugins/\" rel=\"nofollow\"\u003eplugins API docs\u003c/a\u003e. And for information on how to create a custom subcommand\nto distribute as a plugin, see the \u003ca href=\"https://docs.allennlp.org/main/api/commands/subcommand/\" rel=\"nofollow\"\u003esubcommand API docs\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ePackage Overview\u003c/h2\u003e\u003ca id=\"user-content-package-overview\" class=\"anchor\" aria-label=\"Permalink: Package Overview\" href=\"#package-overview\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003ctbody\u003e\u003ctr\u003e\n \u003ctd\u003e\u003cb\u003e allennlp \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e An open-source NLP research library, built on PyTorch \u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e\u003cb\u003e allennlp.commands \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e Functionality for the CLI \u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e\u003cb\u003e allennlp.common \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e Utility modules that are used across the library \u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e\u003cb\u003e allennlp.data \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e A data processing module for loading datasets and encoding strings as integers for representation in matrices \u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e\u003cb\u003e allennlp.fairness \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e A module for bias mitigation and fairness algorithms and metrics \u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e\u003cb\u003e allennlp.modules \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e A collection of PyTorch modules for use with text \u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e\u003cb\u003e allennlp.nn \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e Tensor utility functions, such as initializers and activation functions \u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n \u003ctd\u003e\u003cb\u003e allennlp.training \u003c/b\u003e\u003c/td\u003e\n \u003ctd\u003e Functionality for training models \u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstallation\u003c/h2\u003e\u003ca id=\"user-content-installation\" class=\"anchor\" aria-label=\"Permalink: Installation\" href=\"#installation\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAllenNLP requires Python 3.6.1 or later and \u003ca href=\"https://pytorch.org/\" rel=\"nofollow\"\u003ePyTorch\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWe support AllenNLP on Mac and Linux environments. We presently do not support Windows but are open to contributions.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstalling via conda-forge\u003c/h3\u003e\u003ca id=\"user-content-installing-via-conda-forge\" class=\"anchor\" aria-label=\"Permalink: Installing via conda-forge\" href=\"#installing-via-conda-forge\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe simplest way to install AllenNLP is using conda (you can choose a different python version):\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"conda install -c conda-forge python=3.8 allennlp\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003econda install -c conda-forge python=3.8 allennlp\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTo install optional packages, such as \u003ccode\u003echecklist\u003c/code\u003e, use\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"conda install -c conda-forge allennlp-checklist\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003econda install -c conda-forge allennlp-checklist\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eor simply install \u003ccode\u003eallennlp-all\u003c/code\u003e directly. The plugins mentioned above are similarly installable, e.g.\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"conda install -c conda-forge allennlp-models allennlp-semparse allennlp-server allennlp-optuna\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003econda install -c conda-forge allennlp-models allennlp-semparse allennlp-server allennlp-optuna\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstalling via pip\u003c/h3\u003e\u003ca id=\"user-content-installing-via-pip\" class=\"anchor\" aria-label=\"Permalink: Installing via pip\" href=\"#installing-via-pip\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIt's recommended that you install the PyTorch ecosystem \u003cstrong\u003ebefore\u003c/strong\u003e installing AllenNLP by following the instructions on \u003ca href=\"https://pytorch.org/\" rel=\"nofollow\"\u003epytorch.org\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAfter that, just run \u003ccode\u003epip install allennlp\u003c/code\u003e.\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp dir=\"auto\"\u003e\u003cg-emoji class=\"g-emoji\" alias=\"warning\"\u003e⚠️\u003c/g-emoji\u003e If you're using Python 3.7 or greater, you should ensure that you don't have the PyPI version of \u003ccode\u003edataclasses\u003c/code\u003e installed after running the above command, as this could cause issues on certain platforms. You can quickly check this by running \u003ccode\u003epip freeze | grep dataclasses\u003c/code\u003e. If you see something like \u003ccode\u003edataclasses=0.6\u003c/code\u003e in the output, then just run \u003ccode\u003epip uninstall -y dataclasses\u003c/code\u003e.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp dir=\"auto\"\u003eIf you need pointers on setting up an appropriate Python environment or would like to install AllenNLP using a different method, see below.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eSetting up a virtual environment\u003c/h4\u003e\u003ca id=\"user-content-setting-up-a-virtual-environment\" class=\"anchor\" aria-label=\"Permalink: Setting up a virtual environment\" href=\"#setting-up-a-virtual-environment\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://conda.io/\" rel=\"nofollow\"\u003eConda\u003c/a\u003e can be used set up a virtual environment with the\nversion of Python required for AllenNLP. If you already have a Python 3\nenvironment you want to use, you can skip to the 'installing via pip' section.\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://conda.io/projects/conda/en/latest/user-guide/install/index.html\" rel=\"nofollow\"\u003eDownload and install Conda\u003c/a\u003e.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eCreate a Conda environment with Python 3.8 (3.7 or 3.9 would work as well):\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"conda create -n allennlp_env python=3.8\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003econda create -n allennlp_env python=3.8\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eActivate the Conda environment. You will need to activate the Conda environment in each terminal in which you want to use AllenNLP:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"conda activate allennlp_env\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003econda activate allennlp_env\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstalling the library and dependencies\u003c/h4\u003e\u003ca id=\"user-content-installing-the-library-and-dependencies\" class=\"anchor\" aria-label=\"Permalink: Installing the library and dependencies\" href=\"#installing-the-library-and-dependencies\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eInstalling the library and dependencies is simple using \u003ccode\u003epip\u003c/code\u003e.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install allennlp\"\u003e\u003cpre\u003epip install allennlp\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTo install the optional dependencies, such as \u003ccode\u003echecklist\u003c/code\u003e, run\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install allennlp[checklist]\"\u003e\u003cpre\u003epip install allennlp[checklist]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eOr you can just install all optional dependencies with \u003ccode\u003epip install allennlp[all]\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cem\u003eLooking for bleeding edge features? You can install nightly releases directly from \u003ca href=\"https://pypi.org/project/allennlp/#history\" rel=\"nofollow\"\u003epypi\u003c/a\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAllenNLP installs a script when you install the python package, so you can run allennlp commands just by typing \u003ccode\u003eallennlp\u003c/code\u003e into a terminal. For example, you can now test your installation with \u003ccode\u003eallennlp test-install\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eYou may also want to install \u003ccode\u003eallennlp-models\u003c/code\u003e, which contains the NLP constructs to train and run our officially\nsupported models, many of which are hosted at \u003ca href=\"https://demo.allennlp.org\" rel=\"nofollow\"\u003ehttps://demo.allennlp.org\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install allennlp-models\"\u003e\u003cpre\u003epip install allennlp-models\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstalling using Docker\u003c/h3\u003e\u003ca id=\"user-content-installing-using-docker\" class=\"anchor\" aria-label=\"Permalink: Installing using Docker\" href=\"#installing-using-docker\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eDocker provides a virtual machine with everything set up to run AllenNLP--\nwhether you will leverage a GPU or just run on a CPU. Docker provides more\nisolation and consistency, and also makes it easy to distribute your\nenvironment to a compute cluster.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAllenNLP provides \u003ca href=\"https://hub.docker.com/r/allennlp/allennlp\" rel=\"nofollow\"\u003eofficial Docker images\u003c/a\u003e with the library and all of its dependencies installed.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eOnce you have \u003ca href=\"https://docs.docker.com/engine/installation/\" rel=\"nofollow\"\u003einstalled Docker\u003c/a\u003e,\nyou should also install the \u003ca href=\"https://github.com/NVIDIA/nvidia-docker\"\u003eNVIDIA Container Toolkit\u003c/a\u003e\nif you have GPUs available.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThen run the following command to get an environment that will run on GPU:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"mkdir -p $HOME/.allennlp/\ndocker run --rm --gpus all -v $HOME/.allennlp:/root/.allennlp allennlp/allennlp:latest\"\u003e\u003cpre\u003emkdir -p \u003cspan class=\"pl-smi\"\u003e$HOME\u003c/span\u003e/.allennlp/\ndocker run --rm --gpus all -v \u003cspan class=\"pl-smi\"\u003e$HOME\u003c/span\u003e/.allennlp:/root/.allennlp allennlp/allennlp:latest\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou can test the Docker environment with\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"docker run --rm --gpus all -v $HOME/.allennlp:/root/.allennlp allennlp/allennlp:latest test-install \"\u003e\u003cpre\u003edocker run --rm --gpus all -v \u003cspan class=\"pl-smi\"\u003e$HOME\u003c/span\u003e/.allennlp:/root/.allennlp allennlp/allennlp:latest test-install \u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf you don't have GPUs available, just omit the \u003ccode\u003e--gpus all\u003c/code\u003e flag.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eBuilding your own Docker image\u003c/h4\u003e\u003ca id=\"user-content-building-your-own-docker-image\" class=\"anchor\" aria-label=\"Permalink: Building your own Docker image\" href=\"#building-your-own-docker-image\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eFor various reasons you may need to create your own AllenNLP Docker image, such as if you need a different version\nof PyTorch. To do so, just run \u003ccode\u003emake docker-image\u003c/code\u003e from the root of your local clone of AllenNLP.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eBy default this builds an image with the tag \u003ccode\u003eallennlp/allennlp\u003c/code\u003e, but you can change this to anything you want\nby setting the \u003ccode\u003eDOCKER_IMAGE_NAME\u003c/code\u003e flag when you call \u003ccode\u003emake\u003c/code\u003e. For example,\n\u003ccode\u003emake docker-image DOCKER_IMAGE_NAME=my-allennlp\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf you want to use a different version of Python or PyTorch, set the flags \u003ccode\u003eDOCKER_PYTHON_VERSION\u003c/code\u003e and \u003ccode\u003eDOCKER_TORCH_VERSION\u003c/code\u003e to something like\n\u003ccode\u003e3.9\u003c/code\u003e and \u003ccode\u003e1.9.0-cuda10.2\u003c/code\u003e, respectively. These flags together determine the base image that is used. You can see the list of valid\ncombinations in this GitHub Container Registry: \u003ca href=\"https://github.com/allenai/docker-images/pkgs/container/pytorch\"\u003egithub.com/allenai/docker-images/pkgs/container/pytorch\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAfter building the image you should be able to see it listed by running \u003ccode\u003edocker images allennlp\u003c/code\u003e.\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"REPOSITORY TAG IMAGE ID CREATED SIZE\nallennlp/allennlp latest b66aee6cb593 5 minutes ago 2.38GB\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003eREPOSITORY TAG IMAGE ID CREATED SIZE\nallennlp/allennlp latest b66aee6cb593 5 minutes ago 2.38GB\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstalling from source\u003c/h3\u003e\u003ca id=\"user-content-installing-from-source\" class=\"anchor\" aria-label=\"Permalink: Installing from source\" href=\"#installing-from-source\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou can also install AllenNLP by cloning our git repository:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"git clone https://github.com/allenai/allennlp.git\"\u003e\u003cpre\u003egit clone https://github.com/allenai/allennlp.git\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eCreate a Python 3.7 or 3.8 virtual environment, and install AllenNLP in \u003ccode\u003eeditable\u003c/code\u003e mode by running:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install -U pip setuptools wheel\npip install --editable .[dev,all]\"\u003e\u003cpre\u003epip install -U pip setuptools wheel\npip install --editable .[dev,all]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis will make \u003ccode\u003eallennlp\u003c/code\u003e available on your system but it will use the sources from the local clone\nyou made of the source repository.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eYou can test your installation with \u003ccode\u003eallennlp test-install\u003c/code\u003e.\nSee \u003ca href=\"https://github.com/allenai/allennlp-models\"\u003ehttps://github.com/allenai/allennlp-models\u003c/a\u003e\nfor instructions on installing \u003ccode\u003eallennlp-models\u003c/code\u003e from source.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eRunning AllenNLP\u003c/h2\u003e\u003ca id=\"user-content-running-allennlp\" class=\"anchor\" aria-label=\"Permalink: Running AllenNLP\" href=\"#running-allennlp\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eOnce you've installed AllenNLP, you can run the command-line interface\nwith the \u003ccode\u003eallennlp\u003c/code\u003e command (whether you installed from \u003ccode\u003epip\u003c/code\u003e or from source).\n\u003ccode\u003eallennlp\u003c/code\u003e has various subcommands such as \u003ccode\u003etrain\u003c/code\u003e, \u003ccode\u003eevaluate\u003c/code\u003e, and \u003ccode\u003epredict\u003c/code\u003e.\nTo see the full usage information, run \u003ccode\u003eallennlp --help\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eYou can test your installation by running \u003ccode\u003eallennlp test-install\u003c/code\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eIssues\u003c/h2\u003e\u003ca id=\"user-content-issues\" class=\"anchor\" aria-label=\"Permalink: Issues\" href=\"#issues\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eEveryone is welcome to file issues with either feature requests, bug reports, or general questions. As a small team with our own internal goals, we may ask for contributions if a prompt fix doesn't fit into our roadmap. To keep things tidy we will often close issues we think are answered, but don't hesitate to follow up if further discussion is needed.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eContributions\u003c/h2\u003e\u003ca id=\"user-content-contributions\" class=\"anchor\" aria-label=\"Permalink: Contributions\" href=\"#contributions\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe AllenNLP team at AI2 (\u003ca href=\"https://github.com/allenai\"\u003e@allenai\u003c/a\u003e) welcomes contributions from the community.\nIf you're a first time contributor, we recommend you start by reading our \u003ca href=\"https://github.com/allenai/allennlp/blob/main/CONTRIBUTING.md\"\u003eCONTRIBUTING.md\u003c/a\u003e guide.\nThen have a look at our issues with the tag \u003ca href=\"https://github.com/allenai/allennlp/issues?q=is%3Aissue+is%3Aopen+label%3A%22Good+First+Issue%22\"\u003e\u003cstrong\u003e\u003ccode\u003eGood First Issue\u003c/code\u003e\u003c/strong\u003e\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf you would like to contribute a larger feature, we recommend first creating an issue with a proposed design for discussion. This will prevent you from spending significant time on an implementation which has a technical limitation someone could have pointed out early on. Small contributions can be made directly in a pull request.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003ePull requests (PRs) must have one approving review and no requested changes before they are merged. As AllenNLP is primarily driven by AI2 we reserve the right to reject or revert contributions that we don't think are good additions.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCiting\u003c/h2\u003e\u003ca id=\"user-content-citing\" class=\"anchor\" aria-label=\"Permalink: Citing\" href=\"#citing\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf you use AllenNLP in your research, please cite \u003ca href=\"https://www.semanticscholar.org/paper/AllenNLP%3A-A-Deep-Semantic-Natural-Language-Platform-Gardner-Grus/a5502187140cdd98d76ae711973dbcdaf1fef46d\" rel=\"nofollow\"\u003eAllenNLP: A Deep Semantic Natural Language Processing Platform\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-text-bibtex notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"@inproceedings{Gardner2017AllenNLP,\n title={AllenNLP: A Deep Semantic Natural Language Processing Platform},\n author={Matt Gardner and Joel Grus and Mark Neumann and Oyvind Tafjord\n and Pradeep Dasigi and Nelson F. Liu and Matthew Peters and\n Michael Schmitz and Luke S. Zettlemoyer},\n year={2017},\n Eprint = {arXiv:1803.07640},\n}\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003e@inproceedings\u003c/span\u003e{\u003cspan class=\"pl-en\"\u003eGardner2017AllenNLP\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003etitle\u003c/span\u003e=\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e{\u003c/span\u003eAllenNLP: A Deep Semantic Natural Language Processing Platform\u003cspan class=\"pl-pds\"\u003e}\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003eauthor\u003c/span\u003e=\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e{\u003c/span\u003eMatt Gardner and Joel Grus and Mark Neumann and Oyvind Tafjord\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e and Pradeep Dasigi and Nelson F. Liu and Matthew Peters and\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e Michael Schmitz and Luke S. Zettlemoyer\u003cspan class=\"pl-pds\"\u003e}\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003eyear\u003c/span\u003e=\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e{\u003c/span\u003e2017\u003cspan class=\"pl-pds\"\u003e}\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-s\"\u003eEprint\u003c/span\u003e = \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e{\u003c/span\u003earXiv:1803.07640\u003cspan class=\"pl-pds\"\u003e}\u003c/span\u003e\u003c/span\u003e,\n}\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eTeam\u003c/h2\u003e\u003ca id=\"user-content-team\" class=\"anchor\" aria-label=\"Permalink: Team\" href=\"#team\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAllenNLP is an open-source project backed by \u003ca href=\"https://allenai.org/\" rel=\"nofollow\"\u003ethe Allen Institute for Artificial Intelligence (AI2)\u003c/a\u003e.\nAI2 is a non-profit institute with the mission to contribute to humanity through high-impact AI research and engineering.\nTo learn more about who specifically contributed to this codebase, see \u003ca href=\"https://github.com/allenai/allennlp/graphs/contributors\"\u003eour contributors\u003c/a\u003e page.\u003c/p\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":2,"text":"Quick Links","anchor":"quick-links","htmlText":"Quick Links"},{"level":2,"text":"In this README","anchor":"in-this-readme","htmlText":"In this README"},{"level":2,"text":"Getting Started Using the Library","anchor":"getting-started-using-the-library","htmlText":"Getting Started Using the Library"},{"level":2,"text":"Plugins","anchor":"plugins","htmlText":"Plugins"},{"level":2,"text":"Package Overview","anchor":"package-overview","htmlText":"Package Overview"},{"level":2,"text":"Installation","anchor":"installation","htmlText":"Installation"},{"level":3,"text":"Installing via conda-forge","anchor":"installing-via-conda-forge","htmlText":"Installing via conda-forge"},{"level":3,"text":"Installing via pip","anchor":"installing-via-pip","htmlText":"Installing via pip"},{"level":4,"text":"Setting up a virtual environment","anchor":"setting-up-a-virtual-environment","htmlText":"Setting up a virtual environment"},{"level":4,"text":"Installing the library and dependencies","anchor":"installing-the-library-and-dependencies","htmlText":"Installing the library and dependencies"},{"level":3,"text":"Installing using Docker","anchor":"installing-using-docker","htmlText":"Installing using Docker"},{"level":4,"text":"Building your own Docker image","anchor":"building-your-own-docker-image","htmlText":"Building your own Docker image"},{"level":3,"text":"Installing from source","anchor":"installing-from-source","htmlText":"Installing from source"},{"level":2,"text":"Running AllenNLP","anchor":"running-allennlp","htmlText":"Running AllenNLP"},{"level":2,"text":"Issues","anchor":"issues","htmlText":"Issues"},{"level":2,"text":"Contributions","anchor":"contributions","htmlText":"Contributions"},{"level":2,"text":"Citing","anchor":"citing","htmlText":"Citing"},{"level":2,"text":"Team","anchor":"team","htmlText":"Team"}],"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fallenai%2Fallennlp"}},{"displayName":"LICENSE","repoName":"allennlp","refName":"main","path":"LICENSE","preferredFileType":"license","tabName":"Apache-2.0","richText":null,"loaded":false,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":null,"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fallenai%2Fallennlp"}}],"overviewFilesProcessingTime":0}},"appPayload":{"helpUrl":"https://docs.github.com","findFileWorkerPath":"/assets-cdn/worker/find-file-worker-7d7eb7c71814.js","findInFileWorkerPath":"/assets-cdn/worker/find-in-file-worker-708ec8ade250.js","githubDevUrl":null,"enabled_features":{"copilot_workspace":null,"code_nav_ui_events":false,"overview_shared_code_dropdown_button":true,"react_blob_overlay":false,"accessible_code_button":true,"github_models_repo_integration":false}}}}</script> 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src="https://raw.githubusercontent.com/allenai/allennlp/main/docs/img/allennlp-logo-dark.png" width="400" style="max-width: 100%;"></a> <p dir="auto"> An Apache 2.0 NLP research library, built on PyTorch, for developing state-of-the-art deep learning models on a wide variety of linguistic tasks. </p> <hr> </div> <p align="center" dir="auto"> <a href="https://github.com/allenai/allennlp/actions"> <img alt="CI" src="https://github.com/allenai/allennlp/workflows/CI/badge.svg?event=push&amp;branch=main" style="max-width: 100%;"> </a> <a href="https://pypi.org/project/allennlp/" rel="nofollow"> <img alt="PyPI" src="https://camo.githubusercontent.com/3b7c339d09307c0ae6368ccc662eb4fd995f431f56345501af1a9dc0cd8322aa/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f616c6c656e6e6c70" data-canonical-src="https://img.shields.io/pypi/v/allennlp" style="max-width: 100%;"> </a> <a href="https://github.com/allenai/allennlp/blob/main/LICENSE"> <img alt="License" src="https://camo.githubusercontent.com/de6875d7cb16af9e70d4d10846283af503ea1e71c1017a50cfc1302620c7e2dc/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f616c6c656e61692f616c6c656e6e6c702e7376673f636f6c6f723d626c756526636163686564726f70" data-canonical-src="https://img.shields.io/github/license/allenai/allennlp.svg?color=blue&amp;cachedrop" style="max-width: 100%;"> </a> <a href="https://codecov.io/gh/allenai/allennlp" rel="nofollow"> <img alt="Codecov" src="https://camo.githubusercontent.com/d12e932571714d9434a6899b3983836c3fed0e4e71db5dc128e92d6743d0d71d/68747470733a2f2f636f6465636f762e696f2f67682f616c6c656e61692f616c6c656e6e6c702f6272616e63682f6d61696e2f67726170682f62616467652e737667" data-canonical-src="https://codecov.io/gh/allenai/allennlp/branch/main/graph/badge.svg" style="max-width: 100%;"> </a> <a href="https://optuna.org" rel="nofollow"> <img alt="Optuna" src="https://camo.githubusercontent.com/2d717f8916e2f54a43eb32b459078002272d8fc2b8bd6f9bf8d5bec6ea0bc200/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4f7074756e612d696e74656772617465642d626c7565" data-canonical-src="https://img.shields.io/badge/Optuna-integrated-blue" style="max-width: 100%;"> </a> <br> </p> <p dir="auto"><g-emoji class="g-emoji" alias="warning">⚠️</g-emoji> <strong>NOTICE:</strong> The AllenNLP library is now in maintenance mode. That means we are no longer adding new features or upgrading dependencies. We will still respond to questions and address bugs as they arise up until December 16th, 2022. If you have any concerns or are interested in maintaining AllenNLP going forward, please open an issue on this repository.</p> <p dir="auto">AllenNLP has been a big success, but as the field is advancing quickly it's time to focus on new initiatives. We're working hard to make <a href="https://github.com/allenai/tango">AI2 Tango</a> the best way to organize research codebases. If you are an active user of AllenNLP, here are some suggested alternatives:</p> <ul dir="auto"> <li>If you like the trainer, the configuration language, or are simply looking for a better way to manage your experiments, check out <a href="https://github.com/allenai/tango">AI2 Tango</a>.</li> <li>If you like AllenNLP's <code>modules</code> and <code>nn</code> packages, check out <a href="https://github.com/delmaksym/allennlp-light">delmaksym/allennlp-light</a>. It's even compatible with <a href="https://github.com/allenai/tango">AI2 Tango</a>!</li> <li>If you like the framework aspect of AllenNLP, check out <a href="https://github.com/flairNLP/flair">flair</a>. It has multiple state-of-art NLP models and allows you to easily use pretrained embeddings such as those from transformers.</li> <li>If you like the AllenNLP metrics package, check out <a href="https://torchmetrics.readthedocs.io/en/stable/" rel="nofollow">torchmetrics</a>. It has the same API as AllenNLP, so it should be a quick learning curve to make the switch.</li> <li>If you want to vectorize text, try <a href="https://github.com/huggingface/transformers">the transformers library</a>.</li> <li>If you want to maintain the AllenNLP Fairness or Interpret components, please get in touch. There is no alternative to it, so we are looking for a dedicated maintainer.</li> <li>If you are concerned about other AllenNLP functionality, please create an issue. Maybe we can find another way to continue supporting your use case.</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Quick Links</h2><a id="user-content-quick-links" class="anchor" aria-label="Permalink: Quick Links" href="#quick-links"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li><g-emoji class="g-emoji" alias="arrow_upper_right">↗️</g-emoji> <a href="https://allennlp.org/" rel="nofollow">Website</a></li> <li>🔦 <a href="https://guide.allennlp.org/" rel="nofollow">Guide</a></li> <li>🖼 <a href="https://gallery.allennlp.org" rel="nofollow">Gallery</a></li> <li>💻 <a href="https://demo.allennlp.org" rel="nofollow">Demo</a></li> <li>📓 <a href="https://docs.allennlp.org/" rel="nofollow">Documentation</a> ( <a href="https://docs.allennlp.org/latest/" rel="nofollow">latest</a> | <a href="https://docs.allennlp.org/stable/" rel="nofollow">stable</a> | <a href="https://docs.allennlp.org/main/" rel="nofollow">commit</a> )</li> <li>⬆️ <a href="https://github.com/allenai/allennlp/discussions/4933" data-hovercard-type="discussion" data-hovercard-url="/allenai/allennlp/discussions/4933/hovercard">Upgrade Guide from 1.x to 2.0</a></li> <li>❓ <a href="https://stackoverflow.com/questions/tagged/allennlp" rel="nofollow">Stack Overflow</a></li> <li>✋ <a href="/allenai/allennlp/blob/main/CONTRIBUTING.md">Contributing Guidelines</a></li> <li>🤖 <a href="https://github.com/allenai/allennlp-models">Officially Supported Models</a> <ul dir="auto"> <li><a href="https://github.com/allenai/allennlp-models/blob/main/allennlp_models/pretrained.py">Pretrained Models</a></li> <li><a href="https://docs.allennlp.org/models/" rel="nofollow">Documentation</a> ( <a href="https://docs.allennlp.org/models/latest/" rel="nofollow">latest</a> | <a href="https://docs.allennlp.org/models/stable/" rel="nofollow">stable</a> | <a href="https://docs.allennlp.org/models/main/" rel="nofollow">commit</a> )</li> </ul> </li> <li>⚙️ <a href="https://github.com/allenai/allennlp/actions">Continuous Build</a></li> <li>🌙 <a href="https://pypi.org/project/allennlp/#history" rel="nofollow">Nightly Releases</a></li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">In this README</h2><a id="user-content-in-this-readme" class="anchor" aria-label="Permalink: In this README" href="#in-this-readme"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li><a href="#getting-started-using-the-library">Getting Started Using the Library</a></li> <li><a href="#plugins">Plugins</a></li> <li><a href="#package-overview">Package Overview</a></li> <li><a href="#installation">Installation</a> <ul dir="auto"> <li><a href="#installing-via-pip">Installing via pip</a></li> <li><a href="#installing-using-docker">Installing using Docker</a></li> <li><a href="#installing-from-source">Installing from source</a></li> </ul> </li> <li><a href="#running-allennlp">Running AllenNLP</a></li> <li><a href="#issues">Issues</a></li> <li><a href="#contributions">Contributions</a></li> <li><a href="#citing">Citing</a></li> <li><a href="#team">Team</a></li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Getting Started Using the Library</h2><a id="user-content-getting-started-using-the-library" class="anchor" aria-label="Permalink: Getting Started Using the Library" href="#getting-started-using-the-library"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">If you're interested in using AllenNLP for model development, we recommend you check out the <a href="https://guide.allennlp.org" rel="nofollow">AllenNLP Guide</a> for a thorough introduction to the library, followed by our more advanced guides on <a href="https://github.com/allenai/allennlp/discussions/categories/guides">GitHub Discussions</a>.</p> <p dir="auto">When you're ready to start your project, we've created a couple of template repositories that you can use as a starting place:</p> <ul dir="auto"> <li>If you want to use <code>allennlp train</code> and config files to specify experiments, use <a href="https://github.com/allenai/allennlp-template-config-files">this template</a>. We recommend this approach.</li> <li>If you'd prefer to use python code to configure your experiments and run your training loop, use <a href="https://github.com/allenai/allennlp-template-python-script">this template</a>. There are a few things that are currently a little harder in this setup (loading a saved model, and using distributed training), but otherwise it's functionality equivalent to the config files setup.</li> </ul> <p dir="auto">In addition, there are external tutorials:</p> <ul dir="auto"> <li><a href="https://medium.com/optuna/hyperparameter-optimization-for-allennlp-using-optuna-54b4bfecd78b" rel="nofollow">Hyperparameter optimization for AllenNLP using Optuna</a></li> <li><a href="https://medium.com/ai2-blog/tutorial-how-to-train-with-multiple-gpus-in-allennlp-c4d7c17eb6d6" rel="nofollow">Training with multiple GPUs in AllenNLP</a></li> <li><a href="https://medium.com/ai2-blog/tutorial-training-on-larger-batches-with-less-memory-in-allennlp-1cd2047d92ad" rel="nofollow">Training on larger batches with less memory in AllenNLP</a></li> <li><a href="https://medium.com/ai2-blog/tutorial-how-to-upload-transformer-weights-and-tokenizers-from-allennlp-to-huggingface-ecf6c0249bf" rel="nofollow">How to upload transformer weights and tokenizers from AllenNLP to HuggingFace</a></li> </ul> <p dir="auto">And others on the <a href="https://medium.com/ai2-blog/allennlp/home" rel="nofollow">AI2 AllenNLP blog</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Plugins</h2><a id="user-content-plugins" class="anchor" aria-label="Permalink: Plugins" href="#plugins"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional <code>allennlp</code> subcommands.</p> <p dir="auto">There is ecosystem of open source plugins, some of which are maintained by the AllenNLP team here at AI2, and some of which are maintained by the broader community.</p> <markdown-accessiblity-table><table> <tbody><tr> <td><b> Plugin </b></td> <td><b> Maintainer </b></td> <td><b> CLI </b></td> <td><b> Description </b></td> </tr> <tr> <td> <a href="https://github.com/allenai/allennlp-models"><b>allennlp-models</b></a> </td> <td> AI2 </td> <td> No </td> <td> A collection of state-of-the-art models </td> </tr> <tr> <td> <a href="https://github.com/allenai/allennlp-semparse"><b>allennlp-semparse</b></a> </td> <td> AI2 </td> <td> No </td> <td> A framework for building semantic parsers </td> </tr> <tr> <td> <a href="https://github.com/allenai/allennlp-server"><b>allennlp-server</b></a> </td> <td> AI2 </td> <td> Yes </td> <td> A simple demo server for serving models </td> </tr> <tr> <td> <a href="https://github.com/himkt/allennlp-optuna"><b>allennlp-optuna</b></a> </td> <td> <a href="https://himkt.github.io/profile/" rel="nofollow">Makoto Hiramatsu</a> </td> <td> Yes </td> <td> <a href="https://optuna.org/" rel="nofollow">Optuna</a> integration for hyperparameter optimization </td> </tr> </tbody></table></markdown-accessiblity-table> <p dir="auto">AllenNLP will automatically find any official AI2-maintained plugins that you have installed, but for AllenNLP to find personal or third-party plugins you've installed, you also have to create either a local plugins file named <code>.allennlp_plugins</code> in the directory where you run the <code>allennlp</code> command, or a global plugins file at <code>~/.allennlp/plugins</code>. The file should list the plugin modules that you want to be loaded, one per line.</p> <p dir="auto">To test that your plugins can be found and imported by AllenNLP, you can run the <code>allennlp test-install</code> command. Each discovered plugin will be logged to the terminal.</p> <p dir="auto">For more information about plugins, see the <a href="https://docs.allennlp.org/main/api/common/plugins/" rel="nofollow">plugins API docs</a>. And for information on how to create a custom subcommand to distribute as a plugin, see the <a href="https://docs.allennlp.org/main/api/commands/subcommand/" rel="nofollow">subcommand API docs</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Package Overview</h2><a id="user-content-package-overview" class="anchor" aria-label="Permalink: Package Overview" href="#package-overview"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <markdown-accessiblity-table><table> <tbody><tr> <td><b> allennlp </b></td> <td> An open-source NLP research library, built on PyTorch </td> </tr> <tr> <td><b> allennlp.commands </b></td> <td> Functionality for the CLI </td> </tr> <tr> <td><b> allennlp.common </b></td> <td> Utility modules that are used across the library </td> </tr> <tr> <td><b> allennlp.data </b></td> <td> A data processing module for loading datasets and encoding strings as integers for representation in matrices </td> </tr> <tr> <td><b> allennlp.fairness </b></td> <td> A module for bias mitigation and fairness algorithms and metrics </td> </tr> <tr> <td><b> allennlp.modules </b></td> <td> A collection of PyTorch modules for use with text </td> </tr> <tr> <td><b> allennlp.nn </b></td> <td> Tensor utility functions, such as initializers and activation functions </td> </tr> <tr> <td><b> allennlp.training </b></td> <td> Functionality for training models </td> </tr> </tbody></table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Installation</h2><a id="user-content-installation" class="anchor" aria-label="Permalink: Installation" href="#installation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">AllenNLP requires Python 3.6.1 or later and <a href="https://pytorch.org/" rel="nofollow">PyTorch</a>.</p> <p dir="auto">We support AllenNLP on Mac and Linux environments. We presently do not support Windows but are open to contributions.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Installing via conda-forge</h3><a id="user-content-installing-via-conda-forge" class="anchor" aria-label="Permalink: Installing via conda-forge" href="#installing-via-conda-forge"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The simplest way to install AllenNLP is using conda (you can choose a different python version):</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="conda install -c conda-forge python=3.8 allennlp"><pre class="notranslate"><code>conda install -c conda-forge python=3.8 allennlp </code></pre></div> <p dir="auto">To install optional packages, such as <code>checklist</code>, use</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="conda install -c conda-forge allennlp-checklist"><pre class="notranslate"><code>conda install -c conda-forge allennlp-checklist </code></pre></div> <p dir="auto">or simply install <code>allennlp-all</code> directly. The plugins mentioned above are similarly installable, e.g.</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="conda install -c conda-forge allennlp-models allennlp-semparse allennlp-server allennlp-optuna"><pre class="notranslate"><code>conda install -c conda-forge allennlp-models allennlp-semparse allennlp-server allennlp-optuna </code></pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Installing via pip</h3><a id="user-content-installing-via-pip" class="anchor" aria-label="Permalink: Installing via pip" href="#installing-via-pip"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">It's recommended that you install the PyTorch ecosystem <strong>before</strong> installing AllenNLP by following the instructions on <a href="https://pytorch.org/" rel="nofollow">pytorch.org</a>.</p> <p dir="auto">After that, just run <code>pip install allennlp</code>.</p> <blockquote> <p dir="auto"><g-emoji class="g-emoji" alias="warning">⚠️</g-emoji> If you're using Python 3.7 or greater, you should ensure that you don't have the PyPI version of <code>dataclasses</code> installed after running the above command, as this could cause issues on certain platforms. You can quickly check this by running <code>pip freeze | grep dataclasses</code>. If you see something like <code>dataclasses=0.6</code> in the output, then just run <code>pip uninstall -y dataclasses</code>.</p> </blockquote> <p dir="auto">If you need pointers on setting up an appropriate Python environment or would like to install AllenNLP using a different method, see below.</p> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Setting up a virtual environment</h4><a id="user-content-setting-up-a-virtual-environment" class="anchor" aria-label="Permalink: Setting up a virtual environment" href="#setting-up-a-virtual-environment"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><a href="https://conda.io/" rel="nofollow">Conda</a> can be used set up a virtual environment with the version of Python required for AllenNLP. If you already have a Python 3 environment you want to use, you can skip to the 'installing via pip' section.</p> <ol dir="auto"> <li> <p dir="auto"><a href="https://conda.io/projects/conda/en/latest/user-guide/install/index.html" rel="nofollow">Download and install Conda</a>.</p> </li> <li> <p dir="auto">Create a Conda environment with Python 3.8 (3.7 or 3.9 would work as well):</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="conda create -n allennlp_env python=3.8"><pre class="notranslate"><code>conda create -n allennlp_env python=3.8 </code></pre></div> </li> <li> <p dir="auto">Activate the Conda environment. You will need to activate the Conda environment in each terminal in which you want to use AllenNLP:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="conda activate allennlp_env"><pre class="notranslate"><code>conda activate allennlp_env </code></pre></div> </li> </ol> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Installing the library and dependencies</h4><a id="user-content-installing-the-library-and-dependencies" class="anchor" aria-label="Permalink: Installing the library and dependencies" href="#installing-the-library-and-dependencies"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Installing the library and dependencies is simple using <code>pip</code>.</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install allennlp"><pre>pip install allennlp</pre></div> <p dir="auto">To install the optional dependencies, such as <code>checklist</code>, run</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install allennlp[checklist]"><pre>pip install allennlp[checklist]</pre></div> <p dir="auto">Or you can just install all optional dependencies with <code>pip install allennlp[all]</code>.</p> <p dir="auto"><em>Looking for bleeding edge features? You can install nightly releases directly from <a href="https://pypi.org/project/allennlp/#history" rel="nofollow">pypi</a></em></p> <p dir="auto">AllenNLP installs a script when you install the python package, so you can run allennlp commands just by typing <code>allennlp</code> into a terminal. For example, you can now test your installation with <code>allennlp test-install</code>.</p> <p dir="auto">You may also want to install <code>allennlp-models</code>, which contains the NLP constructs to train and run our officially supported models, many of which are hosted at <a href="https://demo.allennlp.org" rel="nofollow">https://demo.allennlp.org</a>.</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install allennlp-models"><pre>pip install allennlp-models</pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Installing using Docker</h3><a id="user-content-installing-using-docker" class="anchor" aria-label="Permalink: Installing using Docker" href="#installing-using-docker"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Docker provides a virtual machine with everything set up to run AllenNLP-- whether you will leverage a GPU or just run on a CPU. Docker provides more isolation and consistency, and also makes it easy to distribute your environment to a compute cluster.</p> <p dir="auto">AllenNLP provides <a href="https://hub.docker.com/r/allennlp/allennlp" rel="nofollow">official Docker images</a> with the library and all of its dependencies installed.</p> <p dir="auto">Once you have <a href="https://docs.docker.com/engine/installation/" rel="nofollow">installed Docker</a>, you should also install the <a href="https://github.com/NVIDIA/nvidia-docker">NVIDIA Container Toolkit</a> if you have GPUs available.</p> <p dir="auto">Then run the following command to get an environment that will run on GPU:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="mkdir -p $HOME/.allennlp/ docker run --rm --gpus all -v $HOME/.allennlp:/root/.allennlp allennlp/allennlp:latest"><pre>mkdir -p <span class="pl-smi">$HOME</span>/.allennlp/ docker run --rm --gpus all -v <span class="pl-smi">$HOME</span>/.allennlp:/root/.allennlp allennlp/allennlp:latest</pre></div> <p dir="auto">You can test the Docker environment with</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="docker run --rm --gpus all -v $HOME/.allennlp:/root/.allennlp allennlp/allennlp:latest test-install "><pre>docker run --rm --gpus all -v <span class="pl-smi">$HOME</span>/.allennlp:/root/.allennlp allennlp/allennlp:latest test-install </pre></div> <p dir="auto">If you don't have GPUs available, just omit the <code>--gpus all</code> flag.</p> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Building your own Docker image</h4><a id="user-content-building-your-own-docker-image" class="anchor" aria-label="Permalink: Building your own Docker image" href="#building-your-own-docker-image"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">For various reasons you may need to create your own AllenNLP Docker image, such as if you need a different version of PyTorch. To do so, just run <code>make docker-image</code> from the root of your local clone of AllenNLP.</p> <p dir="auto">By default this builds an image with the tag <code>allennlp/allennlp</code>, but you can change this to anything you want by setting the <code>DOCKER_IMAGE_NAME</code> flag when you call <code>make</code>. For example, <code>make docker-image DOCKER_IMAGE_NAME=my-allennlp</code>.</p> <p dir="auto">If you want to use a different version of Python or PyTorch, set the flags <code>DOCKER_PYTHON_VERSION</code> and <code>DOCKER_TORCH_VERSION</code> to something like <code>3.9</code> and <code>1.9.0-cuda10.2</code>, respectively. These flags together determine the base image that is used. You can see the list of valid combinations in this GitHub Container Registry: <a href="https://github.com/allenai/docker-images/pkgs/container/pytorch">github.com/allenai/docker-images/pkgs/container/pytorch</a>.</p> <p dir="auto">After building the image you should be able to see it listed by running <code>docker images allennlp</code>.</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="REPOSITORY TAG IMAGE ID CREATED SIZE allennlp/allennlp latest b66aee6cb593 5 minutes ago 2.38GB"><pre class="notranslate"><code>REPOSITORY TAG IMAGE ID CREATED SIZE allennlp/allennlp latest b66aee6cb593 5 minutes ago 2.38GB </code></pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Installing from source</h3><a id="user-content-installing-from-source" class="anchor" aria-label="Permalink: Installing from source" href="#installing-from-source"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">You can also install AllenNLP by cloning our git repository:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="git clone https://github.com/allenai/allennlp.git"><pre>git clone https://github.com/allenai/allennlp.git</pre></div> <p dir="auto">Create a Python 3.7 or 3.8 virtual environment, and install AllenNLP in <code>editable</code> mode by running:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install -U pip setuptools wheel pip install --editable .[dev,all]"><pre>pip install -U pip setuptools wheel pip install --editable .[dev,all]</pre></div> <p dir="auto">This will make <code>allennlp</code> available on your system but it will use the sources from the local clone you made of the source repository.</p> <p dir="auto">You can test your installation with <code>allennlp test-install</code>. See <a href="https://github.com/allenai/allennlp-models">https://github.com/allenai/allennlp-models</a> for instructions on installing <code>allennlp-models</code> from source.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Running AllenNLP</h2><a id="user-content-running-allennlp" class="anchor" aria-label="Permalink: Running AllenNLP" href="#running-allennlp"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Once you've installed AllenNLP, you can run the command-line interface with the <code>allennlp</code> command (whether you installed from <code>pip</code> or from source). <code>allennlp</code> has various subcommands such as <code>train</code>, <code>evaluate</code>, and <code>predict</code>. To see the full usage information, run <code>allennlp --help</code>.</p> <p dir="auto">You can test your installation by running <code>allennlp test-install</code>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Issues</h2><a id="user-content-issues" class="anchor" aria-label="Permalink: Issues" href="#issues"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Everyone is welcome to file issues with either feature requests, bug reports, or general questions. As a small team with our own internal goals, we may ask for contributions if a prompt fix doesn't fit into our roadmap. To keep things tidy we will often close issues we think are answered, but don't hesitate to follow up if further discussion is needed.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Contributions</h2><a id="user-content-contributions" class="anchor" aria-label="Permalink: Contributions" href="#contributions"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The AllenNLP team at AI2 (<a href="https://github.com/allenai">@allenai</a>) welcomes contributions from the community. If you're a first time contributor, we recommend you start by reading our <a href="https://github.com/allenai/allennlp/blob/main/CONTRIBUTING.md">CONTRIBUTING.md</a> guide. Then have a look at our issues with the tag <a href="https://github.com/allenai/allennlp/issues?q=is%3Aissue+is%3Aopen+label%3A%22Good+First+Issue%22"><strong><code>Good First Issue</code></strong></a>.</p> <p dir="auto">If you would like to contribute a larger feature, we recommend first creating an issue with a proposed design for discussion. This will prevent you from spending significant time on an implementation which has a technical limitation someone could have pointed out early on. Small contributions can be made directly in a pull request.</p> <p dir="auto">Pull requests (PRs) must have one approving review and no requested changes before they are merged. As AllenNLP is primarily driven by AI2 we reserve the right to reject or revert contributions that we don't think are good additions.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Citing</h2><a id="user-content-citing" class="anchor" aria-label="Permalink: Citing" href="#citing"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">If you use AllenNLP in your research, please cite <a href="https://www.semanticscholar.org/paper/AllenNLP%3A-A-Deep-Semantic-Natural-Language-Platform-Gardner-Grus/a5502187140cdd98d76ae711973dbcdaf1fef46d" rel="nofollow">AllenNLP: A Deep Semantic Natural Language Processing Platform</a>.</p> <div class="highlight highlight-text-bibtex notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="@inproceedings{Gardner2017AllenNLP, title={AllenNLP: A Deep Semantic Natural Language Processing Platform}, author={Matt Gardner and Joel Grus and Mark Neumann and Oyvind Tafjord and Pradeep Dasigi and Nelson F. Liu and Matthew Peters and Michael Schmitz and Luke S. Zettlemoyer}, year={2017}, Eprint = {arXiv:1803.07640}, }"><pre><span class="pl-k">@inproceedings</span>{<span class="pl-en">Gardner2017AllenNLP</span>, <span class="pl-s">title</span>=<span class="pl-s"><span class="pl-pds">{</span>AllenNLP: A Deep Semantic Natural Language Processing Platform<span class="pl-pds">}</span></span>, <span class="pl-s">author</span>=<span class="pl-s"><span class="pl-pds">{</span>Matt Gardner and Joel Grus and Mark Neumann and Oyvind Tafjord</span> <span class="pl-s"> and Pradeep Dasigi and Nelson F. Liu and Matthew Peters and</span> <span class="pl-s"> Michael Schmitz and Luke S. Zettlemoyer<span class="pl-pds">}</span></span>, <span class="pl-s">year</span>=<span class="pl-s"><span class="pl-pds">{</span>2017<span class="pl-pds">}</span></span>, <span class="pl-s">Eprint</span> = <span class="pl-s"><span class="pl-pds">{</span>arXiv:1803.07640<span class="pl-pds">}</span></span>, }</pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Team</h2><a id="user-content-team" class="anchor" aria-label="Permalink: Team" href="#team"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">AllenNLP is an open-source project backed by <a href="https://allenai.org/" rel="nofollow">the Allen Institute for Artificial Intelligence (AI2)</a>. AI2 is a non-profit institute with the mission to contribute to humanity through high-impact AI research and engineering. To learn more about who specifically contributed to this codebase, see <a href="https://github.com/allenai/allennlp/graphs/contributors">our contributors</a> page.</p> </article></div></div></div></div></div> <!-- --> <!-- --> <script type="application/json" id="__PRIMER_DATA_:R0:__">{"resolvedServerColorMode":"day"}</script></div> </react-partial> <input type="hidden" data-csrf="true" value="trxA7n8aXyI5XqBesVuc4iQ2CqPfwyQrGrTMfJ7hzl1767d5tIFxdFdDYvxhs+N3CnrEpn5UPqw2L8xtifSNGQ==" /> </div> <div data-view-component="true" class="Layout-sidebar"> <div class="BorderGrid about-margin" data-pjax> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <div class="hide-sm hide-md"> <h2 class="mb-3 h4">About</h2> <p class="f4 my-3"> An open-source NLP research library, built on PyTorch. </p> <div class="my-3 d-flex flex-items-center"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link flex-shrink-0 mr-2"> 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10.83.88 9.576.43 8.898a1.62 1.62 0 0 1 0-1.798c.45-.677 1.367-1.931 2.637-3.022C4.33 2.992 6.019 2 8 2ZM1.679 7.932a.12.12 0 0 0 0 .136c.411.622 1.241 1.75 2.366 2.717C5.176 11.758 6.527 12.5 8 12.5c1.473 0 2.825-.742 3.955-1.715 1.124-.967 1.954-2.096 2.366-2.717a.12.12 0 0 0 0-.136c-.412-.621-1.242-1.75-2.366-2.717C10.824 4.242 9.473 3.5 8 3.5c-1.473 0-2.825.742-3.955 1.715-1.124.967-1.954 2.096-2.366 2.717ZM8 10a2 2 0 1 1-.001-3.999A2 2 0 0 1 8 10Z"></path> </svg> <strong>278</strong> watching</a> </div> <h3 class="sr-only">Forks</h3> <div class="mt-2"> <a href="/allenai/allennlp/forks" data-view-component="true" class="Link Link--muted"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo-forked mr-2"> <path d="M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z"></path> </svg> <strong>2.2k</strong> forks</a> </div> <div class="mt-2"> <a class="Link--muted" href="/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fallenai%2Fallennlp&amp;report=allenai+%28user%29"> Report repository </a> </div> </div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame"> <a href="/allenai/allennlp/releases" data-view-component="true" class="Link--primary no-underline Link">Releases <span title="59" data-view-component="true" class="Counter">59</span></a></h2> <a class="Link--primary d-flex no-underline" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/allenai/allennlp/releases/tag/v2.10.1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-tag flex-shrink-0 mt-1 color-fg-success"> <path d="M1 7.775V2.75C1 1.784 1.784 1 2.75 1h5.025c.464 0 .91.184 1.238.513l6.25 6.25a1.75 1.75 0 0 1 0 2.474l-5.026 5.026a1.75 1.75 0 0 1-2.474 0l-6.25-6.25A1.752 1.752 0 0 1 1 7.775Zm1.5 0c0 .066.026.13.073.177l6.25 6.25a.25.25 0 0 0 .354 0l5.025-5.025a.25.25 0 0 0 0-.354l-6.25-6.25a.25.25 0 0 0-.177-.073H2.75a.25.25 0 0 0-.25.25ZM6 5a1 1 0 1 1 0 2 1 1 0 0 1 0-2Z"></path> </svg> <div class="ml-2 min-width-0"> <div class="d-flex"> <span class="css-truncate css-truncate-target text-bold mr-2" style="max-width: none;">v2.10.1</span> <span title="Label: Latest" data-view-component="true" class="Label Label--success flex-shrink-0"> Latest </span> </div> <div class="text-small color-fg-muted"><relative-time datetime="2022-10-18T23:32:24Z" class="no-wrap">Oct 18, 2022</relative-time></div> </div> </a> <div data-view-component="true" class="mt-3"> <a text="small" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/allenai/allennlp/releases" data-view-component="true" class="Link">+ 58 releases</a></div> </div> </div> <div class="BorderGrid-row" > <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/allenai/allennlp/network/dependents" data-view-component="true" class="Link--primary no-underline Link">Used by <span title="4,284" data-view-component="true" class="Counter">4.3k</span></a> </h2> <a class="d-flex flex-items-center" href="/allenai/allennlp/network/dependents"> <ul class="hx_flex-avatar-stack list-style-none min-width-0"> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/171256510?s=64&amp;v=4" width="32" height="32" alt="@HTri09" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/12456972?s=64&amp;v=4" width="32" height="32" alt="@czhang0528" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/100989379?s=64&amp;v=4" width="32" height="32" alt="@indicgenous" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/101512198?s=64&amp;v=4" width="32" height="32" alt="@and1356jin" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/6312233?s=64&amp;v=4" width="32" height="32" alt="@seelenbrecher" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/36221214?s=64&amp;v=4" width="32" height="32" alt="@terryyz" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/163229817?s=64&amp;v=4" width="32" height="32" alt="@OpenLab-SE" /> </li> <li class="hx_flex-avatar-stack-item"> <img class="avatar avatar-user" src="https://avatars.githubusercontent.com/u/69791024?s=64&amp;v=4" width="32" height="32" alt="@ignorancex" /> </li> </ul> <span class="px-2 text-bold text-small no-wrap"> + 4,276 </span> </a> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/allenai/allennlp/graphs/contributors" data-view-component="true" class="Link--primary no-underline Link d-flex flex-items-center">Contributors <span title="257" data-view-component="true" class="Counter ml-1">257</span></a></h2> <ul class="list-style-none d-flex flex-wrap mb-n2"> <li class="mb-2 mr-2" > <a href="https://github.com/epwalsh" class="" data-hovercard-type="user" data-hovercard-url="/users/epwalsh/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/8812459?s=64&amp;v=4" alt="@epwalsh" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/schmmd" class="" data-hovercard-type="user" data-hovercard-url="/users/schmmd/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/954798?s=64&amp;v=4" alt="@schmmd" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/DeNeutoy" class="" data-hovercard-type="user" data-hovercard-url="/users/DeNeutoy/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/16001974?s=64&amp;v=4" alt="@DeNeutoy" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/matt-gardner" class="" data-hovercard-type="user" data-hovercard-url="/users/matt-gardner/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/3291951?s=64&amp;v=4" alt="@matt-gardner" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/dirkgr" class="" data-hovercard-type="user" data-hovercard-url="/users/dirkgr/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/920638?s=64&amp;v=4" alt="@dirkgr" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/joelgrus" class="" data-hovercard-type="user" data-hovercard-url="/users/joelgrus/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/1308313?s=64&amp;v=4" alt="@joelgrus" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/AkshitaB" class="" data-hovercard-type="user" data-hovercard-url="/users/AkshitaB/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/6500683?s=64&amp;v=4" alt="@AkshitaB" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/nelson-liu" class="" data-hovercard-type="user" data-hovercard-url="/users/nelson-liu/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/7272031?s=64&amp;v=4" alt="@nelson-liu" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/apps/dependabot" class="" > <img src="https://avatars.githubusercontent.com/in/29110?s=64&amp;v=4" alt="@dependabot[bot]" size="32" height="32" width="32" data-view-component="true" class="avatar" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/bryant1410" class="" data-hovercard-type="user" data-hovercard-url="/users/bryant1410/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/3905501?s=64&amp;v=4" alt="@bryant1410" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/brendan-ai2" class="" data-hovercard-type="user" data-hovercard-url="/users/brendan-ai2/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/16342367?s=64&amp;v=4" alt="@brendan-ai2" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/apps/dependabot-preview" class="" > <img src="https://avatars.githubusercontent.com/in/2141?s=64&amp;v=4" alt="@dependabot-preview[bot]" size="32" height="32" width="32" data-view-component="true" class="avatar" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/matt-peters" class="" data-hovercard-type="user" data-hovercard-url="/users/matt-peters/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" > <img src="https://avatars.githubusercontent.com/u/619844?s=64&amp;v=4" alt="@matt-peters" size="32" height="32" width="32" data-view-component="true" class="avatar circle" /> </a> </li> <li class="mb-2 mr-2" > <a href="https://github.com/pdasigi" class="" data-hovercard-type="user" data-hovercard-url="/users/pdasigi/hovercard" data-octo-click="hovercard-link-click" 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