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with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#-optimum-notebooks"><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 notebooks</span></h1> <p data-svelte-h="svelte-1r16kgq">You can find here a list of the notebooks associated with each accelerator in 🤗 Optimum.</p>  <h2 class="relative group"><a id="optimum-habana" 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-habana"><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 Habana</span></h2> <table data-svelte-h="svelte-1tej7qe"><thead><tr><th align="left">Notebook</th> <th align="left">Description</th> <th align="left">Colab</th> <th align="right">Studio Lab</th></tr></thead> <tbody><tr><td align="left"><a href="https://github.com/huggingface/optimum-habana/blob/main/notebooks/AI_HW_Summit_2022.ipynb" rel="nofollow">How to use DeepSpeed to train models with billions of parameters on Habana Gaudi</a></td> <td align="left">Show how to use DeepSpeed to pre-train/fine-tune the 1.6B-parameter GPT2-XL for causal language modeling on Habana Gaudi.</td> <td align="left"><a href="https://colab.research.google.com/github/huggingface/optimum-habana/blob/main/notebooks/AI_HW_Summit_2022.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"></a></td> <td align="right"><a href="https://studiolab.sagemaker.aws/import/github/huggingface/optimum-habana/blob/main/notebooks/AI_HW_Summit_2022.ipynb" rel="nofollow"><img src="https://studiolab.sagemaker.aws/studiolab.svg" alt="Open in AWS Studio"></a></td></tr></tbody></table>  <h2 class="relative group"><a id="optimum-intel" 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-intel"><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 Intel</span></h2>  <h3 class="relative group"><a id="openvino" 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="#openvino"><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>OpenVINO</span></h3> <table data-svelte-h="svelte-dgvvvw"><thead><tr><th align="left">Notebook</th> <th align="left">Description</th> <th align="left">Colab</th> <th align="right">Studio Lab</th></tr></thead> <tbody><tr><td align="left"><a href="https://github.com/huggingface/optimum-intel/blob/main/notebooks/openvino/optimum_openvino_inference.ipynb" rel="nofollow">How to run inference with OpenVINO</a></td> <td align="left">Explains how to export your model to OpenVINO and run inference with OpenVINO Runtime on various tasks</td> <td align="left"><a href="https://colab.research.google.com/github/huggingface/optimum-intel/blob/main/notebooks/openvino/optimum_openvino_inference.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"></a></td> <td align="right"><a href="https://studiolab.sagemaker.aws/import/github/huggingface/optimum-intel/blob/main/notebooks/openvino/optimum_openvino_inference.ipynb" rel="nofollow"><img src="https://studiolab.sagemaker.aws/studiolab.svg" alt="Open in AWS Studio"></a></td></tr> <tr><td align="left"><a href="https://github.com/huggingface/optimum-intel/blob/main/notebooks/openvino/question_answering_quantization.ipynb" rel="nofollow">How to quantize a question answering model with NNCF</a></td> <td align="left">Show how to apply post-training quantization on a question answering model using <a href="https://github.com/openvinotoolkit/nncf" rel="nofollow">NNCF</a> and to accelerate inference with OpenVINO</td> <td align="left"><a href="https://colab.research.google.com/github/huggingface/optimum-intel/blob/main/notebooks/openvino/question_answering_quantization.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"></a></td> <td align="right"><a href="https://studiolab.sagemaker.aws/import/github/huggingface/optimum-intel/blob/main/notebooks/openvino/question_answering_quantization.ipynb" rel="nofollow"><img src="https://studiolab.sagemaker.aws/studiolab.svg" alt="Open in AWS Studio"></a></td></tr></tbody></table>  <h2 class="relative group"><a id="optimum-onnx-runtime" 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-onnx-runtime"><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 ONNX Runtime</span></h2> <table data-svelte-h="svelte-t23w3m"><thead><tr><th align="left">Notebook</th> <th align="left">Description</th> <th align="left">Colab</th> <th align="right">Studio Lab</th></tr></thead> <tbody><tr><td align="left"><a href="https://github.com/huggingface/notebooks/blob/main/examples/text_classification_quantization_ort.ipynb" rel="nofollow">How to quantize a model with ONNX Runtime for text classification</a></td> <td align="left">Show how to apply static and dynamic quantization on a model using <a href="https://github.com/microsoft/onnxruntime" rel="nofollow">ONNX Runtime</a> for any GLUE task.</td> <td align="left"><a href="https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_classification_quantization_ort.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"></a></td> <td align="right"><a href="https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/text_classification_quantization_ort.ipynb" rel="nofollow"><img src="https://studiolab.sagemaker.aws/studiolab.svg" alt="Open in AWS Studio"></a></td></tr> <tr><td align="left"><a href="https://github.com/huggingface/notebooks/blob/main/examples/text_classification_ort.ipynb" rel="nofollow">How to fine-tune a model for text classification with ONNX Runtime</a></td> <td align="left">Show how to DistilBERT model on GLUE tasks using <a href="https://github.com/microsoft/onnxruntime" rel="nofollow">ONNX Runtime</a>.</td> <td align="left"><a href="https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_classification_ort.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"></a></td> <td align="right"><a href="https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/text_classification_ort.ipynb" rel="nofollow"><img src="https://studiolab.sagemaker.aws/studiolab.svg" alt="Open in AWS Studio"></a></td></tr> <tr><td align="left"><a href="https://github.com/huggingface/notebooks/blob/main/examples/summarization_ort.ipynb" rel="nofollow">How to fine-tune a model for summarization with ONNX Runtime</a></td> <td align="left">Show how to fine-tune a T5 model on the BBC news corpus.</td> <td align="left"><a href="https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/summarization_ort.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"></a></td> <td align="right"><a href="https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/summarization_ort.ipynb" rel="nofollow"><img src="https://studiolab.sagemaker.aws/studiolab.svg" alt="Open in AWS Studio"></a></td></tr> <tr><td align="left"><a href="https://github.com/huggingface/notebooks/blob/main/examples/question_answering_ort.ipynb" rel="nofollow">How to fine-tune DeBERTa for question-answering with ONNX Runtime</a></td> <td align="left">Show how to fine-tune a DeBERTa model on the squad.</td> <td align="left"><a href="https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/question_answering_ort.ipynb" rel="nofollow"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"></a></td> <td align="right"><a href="https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/main/examples/question_answering_ort.ipynb" rel="nofollow"><img src="https://studiolab.sagemaker.aws/studiolab.svg" alt="Open in AWS Studio"></a></td></tr></tbody></table>  <p></p> 
			
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