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| # ๐ค Optimum Neuron | |
| ๐ค Optimum Neuron is the interface between the ๐ค Transformers library and AWS Accelerators including [AWS Trainium](https://aws.amazon.com/machine-learning/trainium/?nc1=h_ls) and [AWS Inferentia](https://aws.amazon.com/machine-learning/inferentia/?nc1=h_ls). | |
| It provides a set of tools enabling easy model loading, training and inference on single- and multi-Accelerator settings for different downstream tasks. | |
| The list of officially validated models and tasks is available [here](https://huggingface.co/docs/optimum-neuron/package_reference/configuration#supported-architectures). | |
| <a | |
| class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" | |
| href="./tutorials/fine_tune_bert" | |
| > | |
| Tutorials | |
| Learn the basics and become familiar with training & deploying transformers on AWS Trainium and AWS Inferentia. | |
| Start here if you are using ๐ค Optimum Neuron for the first time! | |
| How-to guides | |
| Practical guides to help you achieve a specific goal. Take a look at these guides to learn how to use ๐ค Optimum | |
| Neuron to solve real-world problems. | |
| <a | |
| class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" | |
| href="./package_reference/trainer" | |
| > | |
| Reference | |
| Technical descriptions of how the classes and methods of ๐ค Optimum Neuron work. | |
| <a | |
| class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" | |
| onclick="event.preventDefault(); window.open('https://huggingface.co/datasets/sanhitsa/AWS-White-Papers-and-Blogs/resolve/main/Whitepaper-Scale-production-AI-with-Hugging-Face-Optimum-Neuron-and-AWS-Trainium-and-Inferentia.pdf', '_blank');" | |
| > | |
| White Paper | |
| <p | |
| class="text-gray-700">To learn more about how Optimum Neuron and AWS Inferentia and Trainium are being used by companies, read the White Paper. | |
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