Buckets:
| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Optimum Neuron Container","local":"optimum-neuron-container","sections":[{"title":"Available Optimum Neuron Containers","local":"available-optimum-neuron-containers","sections":[],"depth":2}],"depth":1}"> | |
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| <link rel="modulepreload" href="/docs/optimum.neuron/v0.2.0.dev2/en/_app/immutable/chunks/index.9790a2b6.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Optimum Neuron Container","local":"optimum-neuron-container","sections":[{"title":"Available Optimum Neuron Containers","local":"available-optimum-neuron-containers","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="optimum-neuron-container" 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="#optimum-neuron-container"><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>Optimum Neuron Container</span></h1> <p data-svelte-h="svelte-1igdzgs">We provide pre-built Optimum Neuron containers for Amazon SageMaker. These containers come with all of the Hugging Face libraries and dependencies pre-installed, so you can start using them right away. | |
| We have containers for training and inference, and optimized text generation containers with TGI. The table is up to date and only includes the latest versions of each container. You can find older versions in the <a href="https://github.com/aws/deep-learning-containers/releases?q=hf-neuronx&expanded=true" rel="nofollow">Deep Learning Container Release Notes</a></p> <p data-svelte-h="svelte-py8pa1">We recommend using the <code>sagemaker</code> Python SDK to retrieve the image URI for the container you want to use. Here is a code snippet to retrieve the latest Text Generation Inference container Image URI:</p> <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-keyword">from</span> sagemaker.huggingface <span class="hljs-keyword">import</span> get_huggingface_llm_image_uri | |
| <span class="hljs-comment"># retrieve the llm image uri</span> | |
| llm_image = get_huggingface_llm_image_uri( | |
| <span class="hljs-string">"huggingface-neuronx"</span> | |
| ) | |
| <span class="hljs-built_in">print</span>(<span class="hljs-string">f"llm image uri: <span class="hljs-subst">{llm_image}</span>"</span>) | |
| <!-- HTML_TAG_END --></pre></div> <h2 class="relative group"><a id="available-optimum-neuron-containers" 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="#available-optimum-neuron-containers"><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>Available Optimum Neuron Containers</span></h2> <table data-svelte-h="svelte-1xdkdn2"><thead><tr><th>Type</th> <th>Optimum Version</th> <th>Image URI</th></tr></thead> <tbody><tr><td>Training</td> <td>0.0.25</td> <td><code>763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training-neuronx:2.1.2-transformers4.43.2-neuronx-py310-sdk2.20.0-ubuntu20.04</code></td></tr> <tr><td>Inference</td> <td>0.0.25</td> <td><code>763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-inference-neuronx:2.1.2-transformers4.43.2-neuronx-py310-sdk2.20.0-ubuntu20.04</code></td></tr> <tr><td>Text Generation Inference</td> <td>0.0.28</td> <td><code>763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-tgi-inference:2.1.2-optimum0.0.28-neuronx-py310-ubuntu22.04</code></td></tr></tbody></table> <p data-svelte-h="svelte-87fx8j">Please replace <code>763104351884</code> with the correct <a href="https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/image_uri_config/huggingface-neuronx.json" rel="nofollow">AWS account ID</a> and <code>region</code> with the AWS region you are working in.</p> <p></p> | |
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