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<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;What is AutoTrain Advanced?&quot;,&quot;local&quot;:&quot;what-is-autotrain-advanced&quot;,&quot;sections&quot;:[],&quot;depth&quot;:1}">
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		<link rel="modulepreload" href="/docs/autotrain/pr_749/en/_app/immutable/chunks/EditOnGithub.48fa589f.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;What is AutoTrain Advanced?&quot;,&quot;local&quot;:&quot;what-is-autotrain-advanced&quot;,&quot;sections&quot;:[],&quot;depth&quot;:1}"><!-- HEAD_svelte-u9bgzb_END -->      <p></p>  <h1 class="relative group"><a id="what-is-autotrain-advanced" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#what-is-autotrain-advanced"><span><svg class="" 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 0 256 256"><path 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" fill="currentColor"></path></svg></span></a> <span>What is AutoTrain Advanced?</span></h1> <p data-svelte-h="svelte-hgdsg"><img src="https://raw.githubusercontent.com/huggingface/autotrain-advanced/main/static/autotrain_homepage.png" alt="autotrain-homepage"></p> <p data-svelte-h="svelte-f6o3sj">🤗 AutoTrain Advanced (or simply AutoTrain), developed by Hugging Face, is a robust no-code
platform designed to simplify the process of training state-of-the-art models across
multiple domains: Natural Language Processing (NLP), Computer Vision (CV),
and even Tabular Data analysis. This tool leverages the powerful frameworks created by
various teams at Hugging Face, making advanced machine learning and artificial intelligence accessible to a broader
audience without requiring deep technical expertise.</p>  <h1 class="relative group"><a id="who-should-use-autotrain" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#who-should-use-autotrain"><span><svg class="" 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 0 256 256"><path 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" fill="currentColor"></path></svg></span></a> <span>Who should use AutoTrain?</span></h1> <p data-svelte-h="svelte-1lm041f">AutoTrain is the perfect tool for anyone eager to dive into the world of machine learning
without getting bogged down by the complexities of model training.
Whether you’re a business professional, researcher, educator, or hobbyist,
AutoTrain offers the simplicity of a no-code interface while still providing the
capabilities necessary to develop sophisticated models tailored to your unique datasets.</p> <p data-svelte-h="svelte-wy197i">AutoTrain is for anyone who wants to train a state-of-the-art model for a NLP, CV, Speech or even Tabular task,
but doesn’t want to spend time on the technical details of training a model.</p> <p data-svelte-h="svelte-1pzd8d1">Our mission is to democratize machine learning technology, ensuring it is not only
accessible to data scientists and ML engineers but also to those without a technical
background. If you’re looking to harness the power of AI for your projects,
AutoTrain is your answer.</p>  <h1 class="relative group"><a id="how-to-use-autotrain" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#how-to-use-autotrain"><span><svg class="" 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 0 256 256"><path 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" fill="currentColor"></path></svg></span></a> <span>How to use AutoTrain?</span></h1> <p data-svelte-h="svelte-grs4nb">We offer several ways to use AutoTrain:</p> <ul data-svelte-h="svelte-1qvpxnd"><li><p>No code users can use <code>AutoTrain Advanced</code> by creating a new space with AutoTrain Docker image:
<a href="https://huggingface.co/login?next=/spaces/autotrain-projects/autotrain-advanced?duplicate=true" rel="nofollow">Click here</a> to create AutoTrain Space.
Remember to keep your space private and ensure it is equipped with the necessary hardware resources (GPU) for optimal performance.</p></li> <li><p>If you prefer a more hands-on approach, AutoTrain Advanced can also be run locally
through its intuitive UI or accessed via the Python API provided in the autotrain-advanced
package. This flexibility allows developers to integrate AutoTrain capabilities directly
into their projects, customize workflows, and enhance their toolsets with advanced machine
learning functionalities.</p></li></ul> <p data-svelte-h="svelte-1lfzxny">By bridging the gap between cutting-edge technology and practical usability,
AutoTrain Advanced empowers users to achieve remarkable results in AI without the need
for extensive programming knowledge. Start your journey with AutoTrain today and unlock
the potential of machine learning for your projects!</p>  <h1 class="relative group"><a id="walkthroughs" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#walkthroughs"><span><svg class="" 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 0 256 256"><path 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" fill="currentColor"></path></svg></span></a> <span>Walkthroughs</span></h1> <p data-svelte-h="svelte-1f54nxq">To get started with AutoTrain, check out our walkthroughs and tutorials:</p> <ul data-svelte-h="svelte-10awelr"><li><a href="https://huggingface.co/blog/abhishek/extractive-qa-autotrain" rel="nofollow">Extractive Question Answering with AutoTrain</a></li> <li><a href="https://huggingface.co/blog/abhishek/paligemma-finetuning-autotrain" rel="nofollow">Finetuning PaliGemma with AutoTrain</a></li> <li><a href="https://huggingface.co/blog/abhishek/object-detection-autotrain" rel="nofollow">Training an Object Detection Model with AutoTrain</a></li> <li><a href="https://huggingface.co/blog/abhishek/finetune-custom-embeddings-autotrain" rel="nofollow">How to Fine-Tune Custom Embedding Models Using AutoTrain</a></li> <li><a href="https://huggingface.co/blog/abhishek/autotrain-spacerunner" rel="nofollow">Train Custom Models on Hugging Face Spaces with AutoTrain SpaceRunner</a></li> <li><a href="https://huggingface.co/blog/abhishek/phi3-finetune-macbook" rel="nofollow">How to Finetune phi-3 on MacBook Pro</a></li> <li><a href="https://huggingface.co/blog/abhishek/autotrain-mixtral-dgx-cloud-local" rel="nofollow">Finetune Mixtral 8x7B with AutoTrain</a></li> <li><a href="https://huggingface.co/blog/train-dgx-cloud" rel="nofollow">Easily Train Models with H100 GPUs on NVIDIA DGX Cloud</a></li></ul> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/autotrain-advanced/blob/main/docs/source/index.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1">&lt;</span> <span data-svelte-h="svelte-x0xyl0">&gt;</span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a>  <p></p> 
			
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