NeMo Large Language Models (LLM) Cloud Service

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(childElement.style.height = height + 'px') : (element.style.height = height + 'px'); } else if (video?.hasAttribute('poster') && disableVideoAutoHeight !== 'true') { element.style.height = videoRenderedHeight + 'px'; } // If container is authored inside carousel - adjust height as per first container height var nvContainer = element.parentNode, nvContainerParent = nvContainer?.parentNode, isCarouselSlide = nvContainerParent?.classList.contains('cmp-carousel__item') || false; if (isCarouselSlide) { var carouselSlideId = nvContainerParent.getAttribute('id'), carouselId = carouselSlideId.match(/(.*)-item-(.*)-tabpanel/)[1], firstSlide = document.querySelector('#' + carouselId + ' [data-cmp-slide-no="1"]'), firstSlideImageHeight = firstSlide?.querySelector('.nv-img-as-bg')?.style.height, firstSlideVideoHeight = firstSlide?.querySelector('.nv-video-as-bg')?.style.height, containerImg = nvContainer.querySelector('.nv-img-as-bg'), containerVideo = nvContainer.querySelector('.nv-video-as-bg'); if (firstSlideImageHeight && containerImg) containerImg.style.height = firstSlideImageHeight; if (firstSlideVideoHeight && containerVideo) containerVideo.style.height = firstSlideVideoHeight; } } window.addEventListener('onNvBreakpointChange', (e) => { document.querySelectorAll('[data-cmp-is="nv-container"]').forEach((container) => { const containerId = container.getAttribute('id'); window.initBuildVideo(containerId); window.initLazyLoadingImages(containerId); window.setContainerHeight(containerId); }); }); // Call setContainerHeight for containers with Fit Image Background or Fit Video Background is Enabled // Fit Image / Video Background is applicabled only for Mobile & Tablet viewports window.addEventListener('resize', (e) => { if (containerWithFitBgEnabled.length > 0) { const vpWidth = Math.max(document.documentElement.clientWidth || 0, window.innerWidth || 0); if (vpWidth <= 1023) { containerWithFitBgEnabled.forEach(containerId => window.setContainerHeight(containerId)); } } }); // END: setContainerHeight // Variables let videoSources = {}; /** * @breif Accepts components JSON data to build source elements for each device type * @param Object videoSource */ let buildSources = (videoSource) => { for (const viewport in videoSource) { const fragment = createSrcFragment(videoSource[viewport]); videoSources[viewport] = fragment; } } /** * @breif Creats document fragment that contain maximum of upto 3 <source> tags (webm, mp4, ogg) * @param {*} videos - Array of objects with type and src properties * @returns DocumentFragment with maximum of upto 3 <source> tags */ let createSrcFragment = (videos) => { const fragment = new DocumentFragment(); const videoWebm = videos.find((src) => src.type === 'video/webm'); const videoMp4 = videos.find((src) => src.type === 'video/mp4'); const videoOgg = videos.find((src) => src.type === 'video/ogg'); if (videoWebm && videoWebm.src && videoWebm.type) { fragment.appendChild(createSource(videoWebm)); } if (videoMp4 && videoMp4.src && videoMp4.type) { fragment.appendChild(createSource(videoMp4)); } if (videoOgg && videoOgg.src && videoOgg.type) { fragment.appendChild(createSource(videoOgg)); } return fragment; } /** * @breif Creates source element * @param {*} videos - Object with type and src properties * @returns HTMLElement <source> */ let createSource = (video) => { const source = document.createElement('source'); source.setAttribute('src', video.src); source.setAttribute('type', video.type); return source; } /** * Adds source elments to video and trigger play * @param {*} videoEle * @param {*} videoSources */ let loadVideo = (videoEle, videoSources) => { videoEle.classList.remove('hide'); videoEle.appendChild(videoSources); } let initLazyLoadingVideo = (containerId) => { //Select all videos that have lazy loading enabled const container = document.getElementById(containerId); const videoTarget = container.querySelector('video[data-nv-lazyload]'); if (videoTarget) { //Intersection Observer Callback Function const loadVideo = (entries, observer) => { const [entry] = entries; if (!entry.isIntersecting) { return; } entry.target.play(); videoTarget.removeAttribute('data-nv-lazyload'); observer.unobserve(entry.target); }; const videoObserver = new IntersectionObserver(loadVideo, { root: null, rootMargin: "300px" }) // Set the Videos to be observed videoObserver.observe(videoTarget); } } /** * @breif Build <source> and append to <video>. Handles changing video source by screen size. */ window.initBuildVideo = (containerId) => { const container = document.getElementById(containerId); const video = container.querySelector('.nv-video-load-src>video'); if (video) { const videoSource = JSON.parse(video.dataset.videoSource); let screen = document.documentElement.clientWidth || document.body.clientWidth; buildSources(videoSource); if (Object.keys(videoSources).length > 0) { while (video.firstChild) { video.removeChild(video.lastChild); } if (screen < 640) { if (videoSources.mobile) loadVideo(video, videoSources.mobile); else video.classList.add('hide'); } else if (screen >= 640 && screen < 1024) { if (videoSources.tablet) loadVideo(video, videoSources.tablet); else video.classList.add('hide'); } else if (screen >= 1024 && screen < 1350) { if (videoSources.laptop) loadVideo(video, videoSources.laptop); else video.classList.add('hide'); } else if (screen >= 1350) { if (videoSources.desktop) loadVideo(video, 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Laptop: 1024px to 1349px */ @media only screen and (min-width: 1024px) and (max-width: 1349px) { #container-331f3cce75 { } } /* Desktop: 1350px and up */ @media only screen and (min-width: 1350px) { #container-331f3cce75 { } } </style> </div> </div> </div> </div> <style> #container-d30d0f4e91 { background-color:#f7f7f7; } /* Mobile: up to 639px */ @media only screen and (max-width: 639px) { #container-d30d0f4e91 { } } /* Tablet: 640px to 1023px */ @media only screen and (min-width: 640px) and (max-width: 1023px) { #container-d30d0f4e91 { } } /* Laptop: 1024px to 1349px */ @media only screen and (min-width: 1024px) and (max-width: 1349px) { #container-d30d0f4e91 { } } /* Desktop: 1350px and up */ @media only screen and (min-width: 1350px) { #container-d30d0f4e91 { } } </style> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="features" class="p-t-75 p-b-75 lap-p-t-75 lap-p-b-75 tab-p-t-60 tab-p-b-60 mob-p-t-60 mob-p-b-60 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-5035275082" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title "> State-of-the-Art AI Foundation Models </h2> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-3bdbf2e2f4" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p><span class="p--large"><a href="https://www.nvidia.com/en-us/glossary/data-science/large-language-models/">Large language models</a> (LLMs) are hard to develop and maintain, requiring mountains of data, significant investment, technical expertise, and massive-scale compute infrastructure. Starting with one of NeMo’s pretrained foundation models rapidly accelerates and simplifies this process. </span></p> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-c0a22d271e" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--tablet--12 aem-Grid--default--12 aem-Grid--phone--12 "> <div class="nv-image image aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--6 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" 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</noscript> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn--tablet--10 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--6 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0 aem-GridColumn--offset--tablet--1"> <div id="container-d9afa6a852" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--6 aem-Grid--tablet--10 aem-Grid--default--6 aem-Grid--phone--12 "> <div class="nv-title text h--smaller aem-GridColumn--tablet--10 aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6"> <div id="nv-title-8b37a3b3b9" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h3 class="title "> NeMo Generative AI Foundation Models </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn--tablet--10 aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6"> <div id="nv-text-c801c66617" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p><strong>GPT-8</strong> provides fast responses and meets application service-level agreements for simple tasks like text classification and spelling correction.<br> <br> <strong>GPT-43</strong> supports over 50 languages and provides an optimal balance between high accuracy and low latency for use cases like email composition and factual Q&As.<br> <br> <strong>GPT-530</strong> excels at complex tasks that require deep understanding of human languages and all their nuances, such as text summarization, creative writing, and chatbots.<br> <br> <strong>Inform</strong> is ideal for tasks that require the latest proprietary knowledge, including enterprise intelligence, information retrieval, and Q&A.<br> <br> <strong>mT0-xxl</strong> is a community-built model that supports more than 100 languages for complex use cases like language translation, language understanding, Q&A.</p> </div> </div> </div> </div> </div> </div> </div> <style> #container-d9afa6a852 { } /* Mobile: up to 639px */ @media only screen and (max-width: 639px) { #container-d9afa6a852 { } } /* Tablet: 640px to 1023px */ @media only screen and (min-width: 640px) and (max-width: 1023px) { #container-d9afa6a852 { } } /* Laptop: 1024px to 1349px */ @media only screen and (min-width: 1024px) and (max-width: 1349px) { #container-d9afa6a852 { } } /* Desktop: 1350px and up */ @media only screen and (min-width: 1350px) { #container-d9afa6a852 { } } </style> </div> </div> </div> </div> <style> #container-c0a22d271e { } /* Mobile: up to 639px */ @media only screen and (max-width: 639px) { #container-c0a22d271e { } } /* Tablet: 640px to 1023px */ @media only screen and (min-width: 640px) and (max-width: 1023px) { #container-c0a22d271e { } } /* Laptop: 1024px to 1349px */ @media only screen and (min-width: 1024px) and (max-width: 1349px) { #container-c0a22d271e { } } /* Desktop: 1350px and up */ @media only screen and (min-width: 1350px) { #container-c0a22d271e { } } </style> </div> </div> </div> </div> <style> #features { background-color:#eeeeee; } /* Mobile: up to 639px */ @media only screen and (max-width: 639px) { #features { } } /* Tablet: 640px to 1023px */ @media only screen and (min-width: 640px) and (max-width: 1023px) { #features { } } /* Laptop: 1024px to 1349px */ @media only screen and (min-width: 1024px) and (max-width: 1349px) { #features { } } /* Desktop: 1350px and up */ @media only screen and (min-width: 1350px) { #features { } } </style> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-61aef4e039" class="p-t-75 p-b-75 lap-p-t-75 lap-p-b-75 tab-p-t-60 tab-p-b-60 mob-p-t-60 mob-p-b-60 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-bc30e28188" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title "> Customizing Foundation Models With NeMo Service </h2> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-f8b55c64e9" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p><span class="p--large"><a href="https://blogs.nvidia.com/blog/2023/03/13/what-are-foundation-models/" target="_blank">Foundation models</a> are great out of the box, but they're also trained on publicly available information, frozen in time, and can contain bias. 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id="nv-text-7b9cca9e01" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p style="margin-left: 40px;">Add guardrails and define the operating domain of your enterprise model with fine-tuning or <a href="https://developer.nvidia.com/blog/adapting-p-tuning-to-solve-non-english-downstream-tasks/" target="_blank">prompt learning </a>to prevent it from veering into unwanted domains or saying inappropriate things.</p> </div> </div> </div> </div> <div class="nv-title text h--smaller aem-GridColumn--tablet--10 aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6"> <div id="nv-title-789f12933d" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h3 class="title "> 2 Add Knowledge </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn--tablet--10 aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6"> <div id="nv-text-7ff7013529" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p style="margin-left: 40.0px;"><a href="https://blogs.nvidia.com/blog/2023/03/21/nemo-large-language-models-real-time-data/" target="_blank">Using Inform</a>, encode and embed your model with your enterprise’s real-time information<a href="https://blogs.nvidia.com/blog/2023/03/21/nemo-large-language-models-real-time-data/"> </a>so it can provide the latest responses.</p> </div> </div> </div> </div> <div class="nv-title text h--smaller aem-GridColumn--tablet--10 aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6"> <div id="nv-title-1745f611a8" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h3 class="title "> 3 Add Skills </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn--tablet--10 aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6"> <div 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lap-text-left tab-text-left mob-text-left"> <div class="description "> <p style="margin-left: 40px;">Use reinforcement learning with human feedback (RLHF) to continuously improve your model and align it to human intentions.</p> </div> </div> </div> </div> </div> </div> </div> <style> #container-0cd0fdf4f5 { } /* Mobile: up to 639px */ @media only screen and (max-width: 639px) { #container-0cd0fdf4f5 { } } /* Tablet: 640px to 1023px */ @media only screen and (min-width: 640px) and (max-width: 1023px) { #container-0cd0fdf4f5 { } } /* Laptop: 1024px to 1349px */ @media only screen and (min-width: 1024px) and (max-width: 1349px) { #container-0cd0fdf4f5 { } } /* Desktop: 1350px and up */ @media only screen and (min-width: 1350px) { #container-0cd0fdf4f5 { } } </style> </div> </div> </div> </div> <style> #container-77b7ab0343 { } /* Mobile: up to 639px */ @media only screen and (max-width: 639px) { #container-77b7ab0343 { } } /* Tablet: 640px to 1023px */ @media only screen and (min-width: 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tab-p-b-45 mob-p-t-30 mob-p-b-30 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-e9e7f54cbe" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title " style="color: #000000;"> Build Intelligent Language Applications Faster </h2> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="riva_explore" class="p-t-0 p-b-0 lap-p-t-0 lap-p-b-0 tab-p-t-0 tab-p-b-0 mob-p-t-0 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top 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and (max-width:1349px)"/> <source data-source-desktop srcset="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" media="(min-width:1350px)"/> <img alt="Seamless Development" title="Seamless Development" id="image-nv-image-d3f37fa072" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" data-cmp-img-custom-width="96px" style="max-width:96px" onload="window.initLazyLoadingImages('nv-image-d3f37fa072');"/> </picture> </div> </div> <div class="nv-title text h--smaller aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-6d3229c73a" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h3 class="title " style="color: #000000;"> Develop seamlessly across use cases. </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-f38ac98a38" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p>Take advantage of models for drug discovery, included in the cloud API and NVIDIA BioNeMo framework.</p> </div> </div> </div> </div> </div> </div> </div> <style> #container-1376b9876e { } /* Mobile: up to 639px */ @media only screen and (max-width: 639px) { #container-1376b9876e { } } /* Tablet: 640px to 1023px */ @media only screen and (min-width: 640px) and (max-width: 1023px) { #container-1376b9876e { } } /* Laptop: 1024px to 1349px */ @media only screen and (min-width: 1024px) and (max-width: 1349px) { #container-1376b9876e { } } /* Desktop: 1350px and up */ @media only screen and (min-width: 1350px) { #container-1376b9876e { } } </style> </div> </div> </div> <style> #riva_explore { } /* Mobile: up to 639px */ @media only screen and (max-width: 639px) { #riva_explore { } } /* Tablet: 640px to 1023px */ @media only screen and (min-width: 640px) and 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$('#unibrow-container'), curHeight = el.height(), autoHeight = el.css('height', 'auto').height(); el.height(curHeight).css('height', autoHeight+11+'px'); } // Trigger custom event when unibrow is loaded if ($('#unibrow-container').height() > 0) { window.dispatchEvent(new CustomEvent("nvOnUnibrowLoaded")); } if($(".unibrow-close").length >0){ $( ".unibrow-close" ).click(function(e) { e.preventDefault(); //$(".unibrow-top").animate({'marginTop': '0px'}, { duration: animationCloseTime, queue: false }); $(".unibrow-top").css('marginTop', '0px'); //$("#unibrow-container").animate({'height': '0px'}, { duration: animationCloseTime, queue: false }); $("#unibrow-container").css('height', '0px'); $("#unibrow-style-outer").remove(); $('.sub-brand-nav').removeClass('unibrow-top'); if(ubsc < NVIDIAGDC.tabletBreakpoint){ $(".subnav").css('marginTop', ''); } else if(ubsc > NVIDIAGDC.tabletBreakpoint && ubsc < NVIDIAGDC.desktopBreakpoint){ $(".subnav").css('marginTop', ''); } if(typeof t_cookieKey !== 'undefined' && t_cookieKey.length>0){ var cookieVal = ""; var cookieExpires = 0; if(typeof t_cookieVal !== 'undefined' && t_cookieVal.length>0){ cookieVal = t_cookieVal; } if(typeof t_cookieExpires !== 'undefined'){ cookieExpires = t_cookieExpires; } var expires = (new Date(Date.now()+ 86400*1000)).toUTCString(); document.cookie = cookieKey + "=" + cookieVal + "; expires=" + cookieExpires + ";path=/;"; } $("#unibrow-container").addClass('hide-unibrow'); if($(".subnav").length>0){ $(".subnav").removeClass('unibrow-subnav'); } $(".nv-page-body > .root").css("marginTop",""); if($(".stbrdcrmbblock").length>0){ $(".stbrdcrmbblock").css("top",""); $(".stbrdcrmbblock").css("position", ""); $(".stbrdcrmbblock").addClass("stbrdcrmbshadow"); } // Trigger custom event when unibrow is loaded window.dispatchEvent(new CustomEvent("nvOnUnibrowClose")); }); } } } } } }); }); var position = $(window).scrollTop(); $(window).scroll(function() { if($(".hide-unibrow").length<1 && $(".stbrdcrmbblock.stbrdcrmbstick").length>0) { var scroll = $(window).scrollTop(); if (scroll > position) { if($(window).width() < NVIDIAGDC.tabletBreakpoint){ $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+56+"px"); } else if($(window).width() > NVIDIAGDC.tabletBreakpoint && $(window).width() < NVIDIAGDC.desktopBreakpoint){ $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+"px"); } else if($(window).width() == NVIDIAGDC.desktopBreakpoint) { $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))-46+"px"); } else { $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+"px"); } $(".stbrdcrmbblock").addClass("stbrdcrmbstick"); //console.log('scrollDown'); } else { if($(window).width() < NVIDIAGDC.tabletBreakpoint){ $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+56+"px"); } else if($(window).width() > NVIDIAGDC.tabletBreakpoint && $(window).width() < NVIDIAGDC.desktopBreakpoint){ $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+46+"px"); } else if($(window).width() == NVIDIAGDC.desktopBreakpoint) { $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+"px"); } else { $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+"px"); } $(".stbrdcrmbblock").addClass("stbrdcrmbstickwthhead"); //console.log('scrollUp'); } position = scroll; } }); </script> <style> @media (min-width: 1024px) { #country-selector-modal { max-height: calc(100vh - 100px); overflow-y: auto; overflow-x: hidden; } .cs-modal-content { max-height: max-content; } #cs-end { padding-bottom: 20px; } } @media (min-width: 1024px) and (max-width: 1349px){ .cs-modal-content { max-width: 984px; margin: 0 auto; } } @media (max-width: 1023px) { .cs-title { padding-bottom: 5px; } .region-title { padding: 15px; } } @media (min-width: 1350px) { .cs-modal-content { padding-bottom: 0px; } } @media (min-width: 1024px) { .country-locale-name { width: 25%; } .country-locale-name a:hover{ color: #000000 !important; } .country-locale-name a { color: #666666 !important; font-weight: 700; } } .nv-menu3-container.two-lvl{background: #eeeeee;} .navigation .global-nav .mobile-nav .mega-nav .mega-menu ul li a { color: #666 !important; font-weight: 400; } @media (max-width: 1024px) { .mobile-nav .menu-right { padding-left: 0; } } .sub-brand-nav .mobile-menu .submenu { display: block; } </style> <script> $(window).ready(function() { setTimeout(function() { if($(".nav-header-item.profile-item > button").length>0){ $(".nav-header-item#nv-cs-item-mob, .nav-header-item#nv-cs-item-mob-close").css("right", 70) } }, 5000); }); </script> </body> </html>

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