openai/clip-vit-large-patch14

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d="M12.3625 13.85H10.1875V12.7625H12.3625V10.5875H13.45V12.7625C13.4497 13.0508 13.335 13.3272 13.1312 13.5311C12.9273 13.735 12.6508 13.8497 12.3625 13.85V13.85Z"></path><path d="M5.8375 8.41246H4.75V6.23746C4.75029 5.94913 4.86496 5.67269 5.06884 5.4688C5.27272 5.26492 5.54917 5.15025 5.8375 5.14996H8.0125V6.23746H5.8375V8.41246Z"></path><path d="M15.625 5.14998H13.45V2.97498C13.4497 2.68665 13.335 2.4102 13.1312 2.20632C12.9273 2.00244 12.6508 1.88777 12.3625 1.88748H2.575C2.28666 1.88777 2.01022 2.00244 1.80633 2.20632C1.60245 2.4102 1.48778 2.68665 1.4875 2.97498V12.7625C1.48778 13.0508 1.60245 13.3273 1.80633 13.5311C2.01022 13.735 2.28666 13.8497 2.575 13.85H4.75V16.025C4.75028 16.3133 4.86495 16.5898 5.06883 16.7936C5.27272 16.9975 5.54916 17.1122 5.8375 17.1125H15.625C15.9133 17.1122 16.1898 16.9975 16.3937 16.7936C16.5975 16.5898 16.7122 16.3133 16.7125 16.025V6.23748C16.7122 5.94915 16.5975 5.6727 16.3937 5.46882C16.1898 5.26494 15.9133 5.15027 15.625 5.14998V5.14998ZM15.625 16.025H5.8375V13.85H8.0125V12.7625H5.8375V10.5875H4.75V12.7625H2.575V2.97498H12.3625V5.14998H10.1875V6.23748H12.3625V8.41248H13.45V6.23748H15.625V16.025Z"></path></svg></div> <span>Zero-Shot Image Classification</span> </div></a><a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/models?library=transformers"><div class="tag tag-white "><svg class="text-black inline-block text-sm" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" preserveAspectRatio="xMidYMid meet" width="1em" height="1em" viewBox="0 0 95 88"><path fill="#fff" d="M94.25 70.08a8.28 8.28 0 0 1-.43 6.46 10.57 10.57 0 0 1-3 3.6 25.18 25.18 0 0 1-5.7 3.2 65.74 65.74 0 0 1-7.56 2.65 46.67 46.67 0 0 1-11.42 1.68c-5.42.05-10.09-1.23-13.4-4.5a40.4 40.4 0 0 1-10.14.03c-3.34 3.25-7.99 4.52-13.39 4.47a46.82 46.82 0 0 1-11.43-1.68 66.37 66.37 0 0 1-7.55-2.65c-2.28-.98-4.17-2-5.68-3.2a10.5 10.5 0 0 1-3.02-3.6c-.99-2-1.18-4.3-.42-6.46a8.54 8.54 0 0 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43.0646L2.71624 32.6894C2.19613 32.4741 1.75197 32.1087 1.44044 31.6398C1.12892 31.171 0.964165 30.62 0.967204 30.057C0.970244 29.4941 1.14094 28.9449 1.45751 28.4794C1.77408 28.014 2.22216 27.6534 2.74456 27.4437L21.2404 20.0227C22.2997 19.5979 25.6477 20.8441 28.8682 20.8555C32.3096 20.8668 35.6292 19.6715 36.816 20.1474ZM11.3042 30.1119L28.8682 37.3828L46.435 30.1119L28.8682 23.0619L11.3042 30.1119ZM29.9247 0.388251L54.9918 10.4462C55.5142 10.6559 55.9623 11.0165 56.2788 11.482C56.5954 11.9474 56.7661 12.4967 56.7691 13.0596C56.7722 13.6225 56.6074 14.1735 56.2959 14.6424C55.9844 15.1112 55.5402 15.4766 55.0201 15.6919L29.953 26.07C29.2593 26.3572 28.4799 26.3572 27.7862 26.07L2.71624 15.6948C2.19613 15.4795 1.75197 15.1141 1.44044 14.6452C1.12892 14.1763 0.964165 13.6253 0.967204 13.0624C0.970244 12.4995 1.14094 11.9503 1.45751 11.4848C1.77408 11.0193 2.22216 10.6588 2.74456 10.4491L27.8117 0.388251C28.4896 0.1157 29.2467 0.1157 29.9247 0.388251ZM11.3042 13.1172L28.8682 20.3881L46.435 13.1172L28.8682 6.06729L11.3042 13.1172Z" fill="currentColor"></path></svg> <span>Safetensors</span> </div></a><a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/models?other=clip"><div class="tag tag-white "> <span>clip</span> </div></a><a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/models?other=vision"><div class="tag tag-white "> <span>vision</span> </div></a><a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/models?other=endpoints_compatible"><div class="tag tag-white "> <svg class="" width="1em" height="1em" viewBox="0 0 74 75" fill="none" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M46.6517 14.9309C48.2799 11.0495 45.4292 6.76251 41.2202 6.76251H24.1817C19.8066 6.76251 15.9021 9.50789 14.4218 13.6249L8.51785 30.0453C6.77792 34.8844 6.77792 40.1785 8.51785 45.0177L14.4218 61.438C15.9021 65.5551 19.8066 68.3004 24.1817 68.3004H41.2202C45.4292 68.3004 48.2799 64.0134 46.6517 60.132L40.7616 46.0903C38.465 40.6155 38.465 34.4475 40.7616 28.9727L46.6517 14.9309Z" fill="#861FFF" stroke="black" stroke-width="12.6835" stroke-linejoin="round"></path><circle cx="53.1334" cy="37.5315" r="13.9518" fill="#FF3270" stroke="black" stroke-width="12.6835" stroke-linejoin="round"></circle></svg> <span>Inference Endpoints</span> </div></a> <div class="relative inline-block "> <button class="group mr-1 mb-1 md:mr-1.5 md:mb-1.5 rounded-full rounded-br-none " type="button"> <div class="tag tag-white rounded-full relative rounded-br-none pr-2.5"> <svg class="-mr-1 text-gray-400" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 12 12" preserveAspectRatio="xMidYMid meet" fill="none"><path fill="currentColor" fill-rule="evenodd" d="M8.007 1.814a1.176 1.176 0 0 0-.732-.266H3.088c-.64 0-1.153.512-1.153 1.152v6.803c0 .64.513 1.152 1.153 1.152h5.54c.632 0 1.144-.511 1.144-1.152V3.816c0-.338-.137-.658-.412-.887L8.007 1.814Zm-1.875 1.81c0 .695.55 1.253 1.244 1.253h.983a.567.567 0 0 1 .553.585v4.041c0 .165-.119.302-.283.302h-5.55c-.156 0-.275-.137-.275-.302V2.7a.284.284 0 0 1 .284-.301h2.468a.574.574 0 0 1 .434.19.567.567 0 0 1 .142.395v.64Z" clip-rule="evenodd"></path><path fill="currentColor" fill-opacity=".2" fill-rule="evenodd" d="M6.132 3.624c0 .695.55 1.253 1.244 1.253h.97a.567.567 0 0 1 .566.585v4.041c0 .165-.119.302-.283.302h-5.55c-.156 0-.275-.137-.275-.302V2.7a.284.284 0 0 1 .284-.301h2.468a.567.567 0 0 1 .576.585v.64Z" clip-rule="evenodd"></path></svg> <span class="-mr-2 text-gray-400">arxiv:</span> <span>2103.00020</span> <div class="border-br-gray-200 absolute bottom-0.5 right-0.5 h-1 w-1 border-[3px] border-l-transparent border-t-transparent border-b-gray-200 border-r-gray-200 dark:border-b-gray-700 dark:border-r-gray-700"></div></div> </button> </div> <div class="relative inline-block "> <button class="group mr-1 mb-1 md:mr-1.5 md:mb-1.5 rounded-full rounded-br-none " type="button"> <div class="tag tag-white rounded-full relative rounded-br-none pr-2.5"> <svg class="-mr-1 text-gray-400" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 12 12" preserveAspectRatio="xMidYMid meet" fill="none"><path fill="currentColor" fill-rule="evenodd" d="M8.007 1.814a1.176 1.176 0 0 0-.732-.266H3.088c-.64 0-1.153.512-1.153 1.152v6.803c0 .64.513 1.152 1.153 1.152h5.54c.632 0 1.144-.511 1.144-1.152V3.816c0-.338-.137-.658-.412-.887L8.007 1.814Zm-1.875 1.81c0 .695.55 1.253 1.244 1.253h.983a.567.567 0 0 1 .553.585v4.041c0 .165-.119.302-.283.302h-5.55c-.156 0-.275-.137-.275-.302V2.7a.284.284 0 0 1 .284-.301h2.468a.574.574 0 0 1 .434.19.567.567 0 0 1 .142.395v.64Z" clip-rule="evenodd"></path><path fill="currentColor" fill-opacity=".2" fill-rule="evenodd" d="M6.132 3.624c0 .695.55 1.253 1.244 1.253h.97a.567.567 0 0 1 .566.585v4.041c0 .165-.119.302-.283.302h-5.55c-.156 0-.275-.137-.275-.302V2.7a.284.284 0 0 1 .284-.301h2.468a.567.567 0 0 1 .576.585v.64Z" clip-rule="evenodd"></path></svg> <span class="-mr-2 text-gray-400">arxiv:</span> <span>1908.04913</span> <div class="border-br-gray-200 absolute bottom-0.5 right-0.5 h-1 w-1 border-[3px] border-l-transparent border-t-transparent border-b-gray-200 border-r-gray-200 dark:border-b-gray-700 dark:border-r-gray-700"></div></div> </button> </div></div> <div class="flex flex-col-reverse lg:flex-row lg:items-center lg:justify-between"><div class="-mb-px flex h-12 items-center overflow-x-auto overflow-y-hidden "><a class="tab-alternate active" href="/openai/clip-vit-large-patch14"><svg class="mr-1.5 text-gray-400 flex-none" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path 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href="#where-to-send-questions-or-comments-about-the-model" title="Where to send questions or comments about the model">Where to send questions or comments about the model</a> </li></ul> </li></ul> </li></ul></nav></div></div></div></div></div> <div class="SVELTE_HYDRATER contents" data-target="Hydrater" data-props="{"targetSelector":".model-card-content"}"></div> <div class="model-card-content prose md:px-6 md:-mx-6 lg:-mr-20 lg:pr-20 xl:-mr-24 xl:pr-24 2xl:-mr-36 2xl:pr-36 hf-sanitized hf-sanitized-7ijEThatEX9jLOFV2vf1T"> <h1 class="relative group flex items-center"> <a rel="nofollow" href="#model-card-clip" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="model-card-clip"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Model Card: CLIP </span> </h1> <p>Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found <a rel="nofollow" href="https://github.com/openai/CLIP/blob/main/model-card.md">here</a>.</p> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#model-details" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="model-details"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Model Details </span> </h2> <p>The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision tasks. The model was also developed to test the ability of models to generalize to arbitrary image classification tasks in a zero-shot manner. It was not developed for general model deployment - to deploy models like CLIP, researchers will first need to carefully study their capabilities in relation to the specific context they’re being deployed within.</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#model-date" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="model-date"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Model Date </span> </h3> <p>January 2021</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#model-type" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="model-type"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Model Type </span> </h3> <p>The base model uses a ViT-L/14 Transformer architecture as an image encoder and uses a masked self-attention Transformer as a text encoder. These encoders are trained to maximize the similarity of (image, text) pairs via a contrastive loss.</p> <p>The original implementation had two variants: one using a ResNet image encoder and the other using a Vision Transformer. This repository has the variant with the Vision Transformer.</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#documents" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="documents"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Documents </span> </h3> <ul> <li><a rel="nofollow" href="https://openai.com/blog/clip/">Blog Post</a></li> <li><a rel="nofollow" href="https://arxiv.org/abs/2103.00020">CLIP Paper</a></li> </ul> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#use-with-transformers" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="use-with-transformers"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Use with Transformers </span> </h3> <pre><code class="language-python"><span class="hljs-keyword">from</span> PIL <span class="hljs-keyword">import</span> Image <span class="hljs-keyword">import</span> requests <span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> CLIPProcessor, CLIPModel model = CLIPModel.from_pretrained(<span class="hljs-string">"openai/clip-vit-large-patch14"</span>) processor = CLIPProcessor.from_pretrained(<span class="hljs-string">"openai/clip-vit-large-patch14"</span>) url = <span class="hljs-string">"http://images.cocodataset.org/val2017/000000039769.jpg"</span> image = Image.<span class="hljs-built_in">open</span>(requests.get(url, stream=<span class="hljs-literal">True</span>).raw) inputs = processor(text=[<span class="hljs-string">"a photo of a cat"</span>, <span class="hljs-string">"a photo of a dog"</span>], images=image, return_tensors=<span class="hljs-string">"pt"</span>, padding=<span class="hljs-literal">True</span>) outputs = model(**inputs) logits_per_image = outputs.logits_per_image <span class="hljs-comment"># this is the image-text similarity score</span> probs = logits_per_image.softmax(dim=<span class="hljs-number">1</span>) <span class="hljs-comment"># we can take the softmax to get the label probabilities</span> </code></pre> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#model-use" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="model-use"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Model Use </span> </h2> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#intended-use" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="intended-use"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Intended Use </span> </h3> <p>The model is intended as a research output for research communities. We hope that this model will enable researchers to better understand and explore zero-shot, arbitrary image classification. We also hope it can be used for interdisciplinary studies of the potential impact of such models - the CLIP paper includes a discussion of potential downstream impacts to provide an example for this sort of analysis.</p> <h4 class="relative group flex items-center"> <a rel="nofollow" href="#primary-intended-uses" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="primary-intended-uses"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Primary intended uses </span> </h4> <p>The primary intended users of these models are AI researchers.</p> <p>We primarily imagine the model will be used by researchers to better understand robustness, generalization, and other capabilities, biases, and constraints of computer vision models.</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#out-of-scope-use-cases" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="out-of-scope-use-cases"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Out-of-Scope Use Cases </span> </h3> <p><strong>Any</strong> deployed use case of the model - whether commercial or not - is currently out of scope. Non-deployed use cases such as image search in a constrained environment, are also not recommended unless there is thorough in-domain testing of the model with a specific, fixed class taxonomy. This is because our safety assessment demonstrated a high need for task specific testing especially given the variability of CLIP’s performance with different class taxonomies. This makes untested and unconstrained deployment of the model in any use case currently potentially harmful. </p> <p>Certain use cases which would fall under the domain of surveillance and facial recognition are always out-of-scope regardless of performance of the model. This is because the use of artificial intelligence for tasks such as these can be premature currently given the lack of testing norms and checks to ensure its fair use.</p> <p>Since the model has not been purposefully trained in or evaluated on any languages other than English, its use should be limited to English language use cases.</p> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#data" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="data"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Data </span> </h2> <p>The model was trained on publicly available image-caption data. This was done through a combination of crawling a handful of websites and using commonly-used pre-existing image datasets such as <a rel="nofollow" href="http://projects.dfki.uni-kl.de/yfcc100m/">YFCC100M</a>. A large portion of the data comes from our crawling of the internet. This means that the data is more representative of people and societies most connected to the internet which tend to skew towards more developed nations, and younger, male users.</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#data-mission-statement" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="data-mission-statement"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Data Mission Statement </span> </h3> <p>Our goal with building this dataset was to test out robustness and generalizability in computer vision tasks. As a result, the focus was on gathering large quantities of data from different publicly-available internet data sources. The data was gathered in a mostly non-interventionist manner. However, we only crawled websites that had policies against excessively violent and adult images and allowed us to filter out such content. We do not intend for this dataset to be used as the basis for any commercial or deployed model and will not be releasing the dataset.</p> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#performance-and-limitations" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="performance-and-limitations"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Performance and Limitations </span> </h2> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#performance" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="performance"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Performance </span> </h3> <p>We have evaluated the performance of CLIP on a wide range of benchmarks across a variety of computer vision datasets such as OCR to texture recognition to fine-grained classification. The paper describes model performance on the following datasets:</p> <ul> <li>Food101</li> <li>CIFAR10 </li> <li>CIFAR100 </li> <li>Birdsnap</li> <li>SUN397</li> <li>Stanford Cars</li> <li>FGVC Aircraft</li> <li>VOC2007</li> <li>DTD</li> <li>Oxford-IIIT Pet dataset</li> <li>Caltech101</li> <li>Flowers102</li> <li>MNIST </li> <li>SVHN </li> <li>IIIT5K </li> <li>Hateful Memes </li> <li>SST-2</li> <li>UCF101</li> <li>Kinetics700</li> <li>Country211</li> <li>CLEVR Counting</li> <li>KITTI Distance</li> <li>STL-10</li> <li>RareAct</li> <li>Flickr30</li> <li>MSCOCO</li> <li>ImageNet</li> <li>ImageNet-A</li> <li>ImageNet-R</li> <li>ImageNet Sketch</li> <li>ObjectNet (ImageNet Overlap)</li> <li>Youtube-BB</li> <li>ImageNet-Vid</li> </ul> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#limitations" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="limitations"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Limitations </span> </h2> <p>CLIP and our analysis of it have a number of limitations. CLIP currently struggles with respect to certain tasks such as fine grained classification and counting objects. CLIP also poses issues with regards to fairness and bias which we discuss in the paper and briefly in the next section. Additionally, our approach to testing CLIP also has an important limitation- in many cases we have used linear probes to evaluate the performance of CLIP and there is evidence suggesting that linear probes can underestimate model performance.</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#bias-and-fairness" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="bias-and-fairness"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Bias and Fairness </span> </h3> <p>We find that the performance of CLIP - and the specific biases it exhibits - can depend significantly on class design and the choices one makes for categories to include and exclude. We tested the risk of certain kinds of denigration with CLIP by classifying images of people from <a rel="nofollow" href="https://arxiv.org/abs/1908.04913">Fairface</a> into crime-related and non-human animal categories. We found significant disparities with respect to race and gender. Additionally, we found that these disparities could shift based on how the classes were constructed. (Details captured in the Broader Impacts Section in the paper).</p> <p>We also tested the performance of CLIP on gender, race and age classification using the Fairface dataset (We default to using race categories as they are constructed in the Fairface dataset.) in order to assess quality of performance across different demographics. We found accuracy >96% across all races for gender classification with ‘Middle Eastern’ having the highest accuracy (98.4%) and ‘White’ having the lowest (96.5%). Additionally, CLIP averaged ~93% for racial classification and ~63% for age classification. Our use of evaluations to test for gender, race and age classification as well as denigration harms is simply to evaluate performance of the model across people and surface potential risks and not to demonstrate an endorsement/enthusiasm for such tasks.</p> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#feedback" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="feedback"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Feedback </span> </h2> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#where-to-send-questions-or-comments-about-the-model" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="where-to-send-questions-or-comments-about-the-model"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 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text-gray-500"><div class="mb-1.5 flex items-center gap-4"><a href="/tasks/zero-shot-image-classification" target="_blank" title="Learn more about zero-shot-image-classification"><div class="inline-flex items-center hover:underline"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 18 19"><path d="M12.3625 13.85H10.1875V12.7625H12.3625V10.5875H13.45V12.7625C13.4497 13.0508 13.335 13.3272 13.1312 13.5311C12.9273 13.735 12.6508 13.8497 12.3625 13.85V13.85Z"></path><path d="M5.8375 8.41246H4.75V6.23746C4.75029 5.94913 4.86496 5.67269 5.06884 5.4688C5.27272 5.26492 5.54917 5.15025 5.8375 5.14996H8.0125V6.23746H5.8375V8.41246Z"></path><path d="M15.625 5.14998H13.45V2.97498C13.4497 2.68665 13.335 2.4102 13.1312 2.20632C12.9273 2.00244 12.6508 1.88777 12.3625 1.88748H2.575C2.28666 1.88777 2.01022 2.00244 1.80633 2.20632C1.60245 2.4102 1.48778 2.68665 1.4875 2.97498V12.7625C1.48778 13.0508 1.60245 13.3273 1.80633 13.5311C2.01022 13.735 2.28666 13.8497 2.575 13.85H4.75V16.025C4.75028 16.3133 4.86495 16.5898 5.06883 16.7936C5.27272 16.9975 5.54916 17.1122 5.8375 17.1125H15.625C15.9133 17.1122 16.1898 16.9975 16.3937 16.7936C16.5975 16.5898 16.7122 16.3133 16.7125 16.025V6.23748C16.7122 5.94915 16.5975 5.6727 16.3937 5.46882C16.1898 5.26494 15.9133 5.15027 15.625 5.14998V5.14998ZM15.625 16.025H5.8375V13.85H8.0125V12.7625H5.8375V10.5875H4.75V12.7625H2.575V2.97498H12.3625V5.14998H10.1875V6.23748H12.3625V8.41248H13.45V6.23748H15.625V16.025Z"></path></svg> <span>Zero-Shot Image Classification</span></div></a></div> <div class="ml-auto flex gap-2"> </div></div> <div class="space-y-2"><input accept="image/*" style="display: none;" type="file"> <span class="inline-block w-full"><span class="contents"> <div class="relative cursor-pointer rounded border-2 border-dashed px-3 py-7 text-center text-gray-500 hidden md:block"><span class="pointer-events-none text-sm">Drag image file here or click to browse from your device</span> </div></span> </span> <span class="inline-block "><span class="contents"><button type="button"><label class="btn-widget mr-2 md:hidden"><svg class="-ml-1 mr-1.5 " xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M25.7 9.3l-7-7A.908.908 0 0 0 18 2H8a2.006 2.006 0 0 0-2 2v24a2.006 2.006 0 0 0 2 2h16a2.006 2.006 0 0 0 2-2V10a.908.908 0 0 0-.3-.7zM18 4.4l5.6 5.6H18zM24 28H8V4h8v6a2.006 2.006 0 0 0 2 2h6z" fill="currentColor"></path></svg> <input accept="image/*" style="display: none;" type="file"> Browse for image</label></button></span> </span> <span class="inline-block w-full"><span class="contents"><label class="block "> <span class="text-sm text-gray-500">Possible class names (comma-separated)</span> <input class="mt-1.5 form-input-alt block w-full" placeholder="Possible class names..." type="text" value=""></label></span> </span> <span class="inline-block "><span class="contents"><button class="btn-widget h-10 w-24 px-5 " type="submit">Compute</button></span> </span></div> <div class="mt-2"><div class="text-sm text-gray-400"></div> </div> <div class="flex items-center gap-x-2 text-sm text-gray-500"><button class="flex items-center hover:text-gray-700 dark:hover:text-gray-300" type="button"> <svg class="mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32" style="transform: rotate(360deg);"><path d="M31 16l-7 7l-1.41-1.41L28.17 16l-5.58-5.59L24 9l7 7z" fill="currentColor"></path><path d="M1 16l7-7l1.41 1.41L3.83 16l5.58 5.59L8 23l-7-7z" fill="currentColor"></path><path d="M12.419 25.484L17.639 6l1.932.518L14.35 26z" fill="currentColor"></path></svg> View Code </button> <div class="ml-auto"> <span class="inline-block "><span class="contents"><button class="flex items-center hover:text-gray-700 dark:hover:text-gray-300" type="button"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M22 16h2V8h-8v2h6v6z" fill="currentColor"></path><path d="M8 24h8v-2h-6v-6H8v8z" fill="currentColor"></path><path d="M26 28H6a2.002 2.002 0 0 1-2-2V6a2.002 2.002 0 0 1 2-2h20a2.002 2.002 0 0 1 2 2v20a2.002 2.002 0 0 1-2 2zM6 6v20h20.001L26 6z" fill="currentColor"></path></svg> Maximize</button></span> </span></div></div></form></div></div> <div class="divider-column-vertical"></div> <h2 class="mb-3 flex items-baseline overflow-hidden whitespace-nowrap text-smd font-semibold text-gray-800"><svg class="mr-1 inline self-center flex-none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 16 16"><path fill-rule="evenodd" clip-rule="evenodd" d="M3.9 5.34v4.07a3.68 3.68 0 0 0 3.68 3.68h1.99v-1.47H7.58c-1.21 0-2.2-1-2.2-2.21v-1.6c.63.5 1.4.76 2.2.76h1.99V7.1H7.58a2.21 2.21 0 0 1-2.16-1.76H3.9Z" fill="currentColor" fill-opacity=".5"></path><path fill-rule="evenodd" clip-rule="evenodd" d="M2.9 2.36c0-.3.25-.55.55-.55h2.43c.3 0 .55.25.55.55v2.43c0 .3-.24.55-.55.55H3.45a.55.55 0 0 1-.55-.55V2.36Zm6.67 4.23c0-.3.24-.55.55-.55h2.43c.3 0 .55.25.55.55v2.44c0 .3-.25.55-.55.55h-2.43a.55.55 0 0 1-.55-.55V6.59Zm.55 4.07c-.3 0-.55.24-.55.55v2.43c0 .3.24.55.55.55h2.43c.3 0 .55-.25.55-.55v-2.43c0-.3-.25-.55-.55-.55h-2.43Z" fill="currentColor" fill-opacity=".85"></path></svg> Model tree for <span class="ml-1 truncate font-mono text-[0.86rem] font-medium">openai/clip-vit-large-patch14</span> <a href="/docs/hub/model-cards#specifying-a-base-model" target="_blank" class="ml-1 translate-y-px self-center text-xs text-gray-400 hover:text-gray-700 dark:hover:text-gray-200 max-xl:hidden"><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M17 22v-8h-4v2h2v6h-3v2h8v-2h-3z" fill="currentColor"></path><path d="M16 8a1.5 1.5 0 1 0 1.5 1.5A1.5 1.5 0 0 0 16 8z" fill="currentColor"></path><path d="M16 30a14 14 0 1 1 14-14a14 14 0 0 1-14 14zm0-26a12 12 0 1 0 12 12A12 12 0 0 0 16 4z" fill="currentColor"></path></svg></a></h2> <div class="flex flex-col space-y-0 whitespace-nowrap pl-1 text-smd text-gray-800"> <div class="flex w-full flex-col justify-center space-y-0" style="padding-left: 0px"><div class="flex h-[28px] w-full items-center justify-between gap-1.5"><div class="relative h-[28px] w-[19px] flex-none"><div class="left absolute inset-y-0 -top-[3px] left-0 w-px bg-gray-300 dark:bg-gray-700"></div> <svg class="text-gray-300 dark:text-gray-700" width="19" height="28" viewBox="0 0 19 28" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M1 0C1 7.42391 7.4588 13.5 15.5 13.5V14.5C6.9726 14.5 0 8.04006 0 0H1Z" fill="currentColor"></path></svg></div> <div class="font-semibold">Finetunes</div> <div class="mx-3 flex-1 translate-y-[2.5px] self-center border-b border-dotted dark:border-gray-800"></div> <a class="text-gray-700 underline decoration-gray-300 hover:text-gray-900 hover:decoration-gray-600 dark:text-gray-300 dark:decoration-gray-500 dark:hover:text-gray-100 dark:hover:decoration-gray-200" href="/models?other=base_model:finetune:openai/clip-vit-large-patch14">33 models</a> </div><div class="flex h-[28px] w-full items-center justify-between gap-1.5"><div class="relative h-[28px] w-[19px] flex-none"><div class="left absolute inset-y-0 -top-[3px] left-0 bottom-[28px] w-px bg-gray-300 dark:bg-gray-700"></div> <svg class="text-gray-300 dark:text-gray-700" width="19" height="28" viewBox="0 0 19 28" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M1 0C1 7.42391 7.4588 13.5 15.5 13.5V14.5C6.9726 14.5 0 8.04006 0 0H1Z" fill="currentColor"></path></svg></div> <div class="font-semibold">Quantizations</div> <div class="mx-3 flex-1 translate-y-[2.5px] self-center border-b border-dotted dark:border-gray-800"></div> <a class="text-gray-700 underline decoration-gray-300 hover:text-gray-900 hover:decoration-gray-600 dark:text-gray-300 dark:decoration-gray-500 dark:hover:text-gray-100 dark:hover:decoration-gray-200" href="/models?other=base_model:quantized:openai/clip-vit-large-patch14">2 models</a> </div></div></div> <div class="divider-column-vertical"></div> <h2 class="mb-5 flex items-baseline overflow-hidden whitespace-nowrap text-smd font-semibold text-gray-800"><svg class="mr-1 inline self-center flex-none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M7.80914 18.7462V24.1907H13.2536V18.7462H7.80914Z" fill="#FF3270"></path><path d="M18.7458 18.7462V24.1907H24.1903V18.7462H18.7458Z" fill="#861FFF"></path><path d="M7.80914 7.80982V13.2543H13.2536V7.80982H7.80914Z" fill="#097EFF"></path><path fill-rule="evenodd" clip-rule="evenodd" d="M4 6.41775C4 5.08246 5.08246 4 6.41775 4H14.6457C15.7626 4 16.7026 4.75724 16.9802 5.78629C18.1505 4.67902 19.7302 4 21.4685 4C25.0758 4 28.0003 6.92436 28.0003 10.5317C28.0003 12.27 27.3212 13.8497 26.2139 15.02C27.243 15.2977 28.0003 16.2376 28.0003 17.3545V25.5824C28.0003 26.9177 26.9177 28.0003 25.5824 28.0003H17.0635H14.9367H6.41775C5.08246 28.0003 4 26.9177 4 25.5824V15.1587V14.9367V6.41775ZM7.80952 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