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	<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Transformers Images","local":"transformers-images","sections":[{"title":"huggingface-pytorch-training","local":"huggingface-pytorch-training","sections":[{"title":"SM Example","local":"sm-example","sections":[],"depth":3}],"depth":2},{"title":"huggingface-pytorch-inference","local":"huggingface-pytorch-inference","sections":[{"title":"SM Example","local":"sm-example","sections":[],"depth":3}],"depth":2}],"depth":1}">
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	<link rel="modulepreload" href="/docs/sagemaker/pr_1645/en/_app/immutable/chunks/EditOnGithub.33306dfe.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Transformers Images","local":"transformers-images","sections":[{"title":"huggingface-pytorch-training","local":"huggingface-pytorch-training","sections":[{"title":"SM Example","local":"sm-example","sections":[],"depth":3}],"depth":2},{"title":"huggingface-pytorch-inference","local":"huggingface-pytorch-inference","sections":[{"title":"SM Example","local":"sm-example","sections":[],"depth":3}],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="transformers-images" 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="#transformers-images"><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>Transformers Images</span></h1> <p data-svelte-h="svelte-9tnrr0"><a href="https://huggingface.co/docs/transformers/en/index" rel="nofollow">Transformers</a> provides APIs and tools to easily download and fine-tune state-of-the-art pretrained models, for use across NLP, computer vision, audio, and more.</p> <p data-svelte-h="svelte-dkc28u">Below, we include a list of the latest images available on AWS, which come pre-packaged with transformers and <a href="https://huggingface.co/docs/datasets/en/index" rel="nofollow">datasets</a> libraries for your convenience. Check out some of the tutorials in the reference section for more information!</p> <p data-svelte-h="svelte-wa6v3s">To find the latest supported versions of the HF DLCs, check out <a href="https://aws.amazon.com/releasenotes/dlc-support-policy/" rel="nofollow">https://aws.amazon.com/releasenotes/dlc-support-policy/</a></p> <h2 class="relative group"><a id="huggingface-pytorch-training" 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="#huggingface-pytorch-training"><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>huggingface-pytorch-training</span></h2> <table data-svelte-h="svelte-1d2pkb8"><thead><tr><th>Framework Version</th> <th>Image Type</th> <th>Image URI</th> <th>Size (GB)</th> <th>Pushed At</th> <th>Details</th></tr></thead> <tbody><tr><td>2.3</td> <td>gpu</td> <td><code>763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:2.3.0-transformers4.48.0-gpu-py311-cu121-ubuntu20.04-v2.1</code></td> <td>8.75</td> <td>2025-03-14 13:15:19</td> <td><a href="https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-training-containers" rel="nofollow">Details</a></td></tr></tbody></table> <h3 class="relative group"><a id="sm-example" 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="#sm-example"><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>SM Example</span></h3> <div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-comment"># create Hugging Face Model Class</span>
	huggingface_model = HuggingFaceModel(
	<span class="hljs-attribute">image_uri</span>=get_huggingface_llm_image_uri("huggingface",version="2.3"),
	<span class="hljs-attribute">env</span>=<insert_hub_obj>,
	<span class="hljs-attribute">role</span>=<insert_role>,
	)

	<span class="hljs-comment"># deploy model to SageMaker Inference</span>
	predictor = huggingface_model.deploy(
	<span class="hljs-attribute">initial_instance_count</span>=1,
	<span class="hljs-attribute">instance_type</span>=<span class="hljs-string">"ml.g6.48xlarge"</span>,
	<span class="hljs-attribute">container_startup_health_check_timeout</span>=2400,
	)<!-- HTML_TAG_END --></pre></div> <h2 class="relative group"><a id="huggingface-pytorch-inference" 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="#huggingface-pytorch-inference"><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>huggingface-pytorch-inference</span></h2> <table data-svelte-h="svelte-9td6ch"><thead><tr><th>Framework Version</th> <th>Image Type</th> <th>Image URI</th> <th>Size (GB)</th> <th>Pushed At</th> <th>Details</th></tr></thead> <tbody><tr><td>2.3</td> <td>gpu</td> <td><code>763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:2.3.0-transformers4.48.0-gpu-py311-cu121-ubuntu22.04-v2.1</code></td> <td>9.12</td> <td>2025-03-03 18:16:45</td> <td><a href="https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-inference-containers" rel="nofollow">Details</a></td></tr> <tr><td>2.3</td> <td>cpu</td> <td><code>763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference:2.3.0-transformers4.48.0-cpu-py311-ubuntu22.04-v2.1</code></td> <td>1.39</td> <td>2025-03-03 18:04:16</td> <td><a href="https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-inference-containers" rel="nofollow">Details</a></td></tr></tbody></table> <h3 class="relative group"><a id="sm-example" 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="#sm-example"><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>SM Example</span></h3> <div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-comment"># create Hugging Face Model Class</span>
	huggingface_model = HuggingFaceModel(
	<span class="hljs-attribute">image_uri</span>=get_huggingface_llm_image_uri("huggingface",version="2.3"),
	<span class="hljs-attribute">env</span>=<insert_hub_obj>,
	<span class="hljs-attribute">role</span>=<insert_role>,
	)

	<span class="hljs-comment"># deploy model to SageMaker Inference</span>
	predictor = huggingface_model.deploy(
	<span class="hljs-attribute">initial_instance_count</span>=1,
	<span class="hljs-attribute">instance_type</span>=<span class="hljs-string">"ml.g6.48xlarge"</span>,
	<span class="hljs-attribute">container_startup_health_check_timeout</span>=2400,
	)<!-- HTML_TAG_END --></pre></div> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/hub-docs/blob/main/docs/sagemaker/transformers.md" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></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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