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Update HF landing page w/ minor changes (microsoft#18220)
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Fixed grammatical errors + updated wording
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sophies927 authored Nov 1, 2023
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14 changes: 7 additions & 7 deletions src/routes/huggingface/+page.svelte
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<h1 class="text-3xl pb-4">Cloud Models</h1>
<p class="pb-4">
Models accelerated by ONNX Runtime can be easily deployed to the cloud through Azure Machine
Learning, which improves time to value, streamlines MLOps, and provides built-in security.
Learning, which improves time-to-value, streamlines MLOps, provides built-in AI governance,
and designs responsible AI solutions.
</p>
<p>
<a href="https://ml.azure.com/" class="text-blue-500">Azure Machine Learning</a> also publishes
a curated model list that is updated regularly and includes some of the most popular models at
the moment. Of the models on this list that are available on Hugging Face, there is currently
Optimum ONNX support for over 85%.
<a href="https://ml.azure.com/" class="text-blue-500">Azure Machine Learning</a> publishes a
curated model list that is updated regularly and includes the most popular models. You can run
the vast majority of the models on the curated list with ONNX Runtime, using HuggingFace Optimum.
</p>
</div>
<div class="hidden md:grid mx-auto">
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<a href="https://huggingface.co/docs/transformers.js/index" class="text-blue-500"
>Transformers.js</a
>
is amazing tool to run transformers on the web, designed to be functionally equivalent to Hugging
Face’s
is an amazing tool to run transformers on the web, designed to be functionally equivalent to
Hugging Face’s
<a href="https://github.com/huggingface/transformers" class="text-blue-500">transformers</a>
python library.
</p>
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