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<h1 class="relative group"><a id="optimum-neuron" 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"><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>๐Ÿค— Optimum Neuron
</span></h1>
<p>๐Ÿค— Optimum Neuron is the interface between the ๐Ÿค— Transformers library and AWS Accelerators including <a href="https://aws.amazon.com/machine-learning/trainium/?nc1=h_ls" rel="nofollow">AWS Trainium</a> and <a href="https://aws.amazon.com/machine-learning/inferentia/?nc1=h_ls" rel="nofollow">AWS Inferentia</a>.
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 <a href="TODO:">here</a>.</p>
<div class="mt-10"><div class="w-full flex flex-col space-y-4 md:space-y-0 md:grid md:grid-cols-2 md:gap-y-4 md:gap-x-5"><a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./tutorials/overview"><div class="w-full text-center bg-gradient-to-br from-blue-400 to-blue-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">Tutorials
</div>
<p class="text-gray-700">Learn the basics and become familiar with training &amp; deploying transformers on AWS Trainium and AWS Inferentia.
Start here if you are using ๐Ÿค— Optimum Neuron for the first time!
</p></a>
<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./guides/overview"><div class="w-full text-center bg-gradient-to-br from-indigo-400 to-indigo-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">How-to guides
</div>
<p class="text-gray-700">Practical guides to help you achieve a specific goal. Take a look at these guides to learn how to use ๐Ÿค— Optimum
Neuron to solve real-world problems.
</p></a>
<a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./package_reference/trainer"><div class="w-full text-center bg-gradient-to-br from-purple-400 to-purple-500 rounded-lg py-1.5 font-semibold mb-5 text-white text-lg leading-relaxed">Reference
</div>
<p class="text-gray-700">Technical descriptions of how the classes and methods of ๐Ÿค— Optimum Neuron work.</p></a></div></div>
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