README.md

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title: README
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	  Intel and Hugging Face are building powerful optimization tools to accelerate training and inference with Transformers.
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		<div class="underline">Learn more about Hugging Face collaboration with Intel AI</div>
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		href="https://github.com/huggingface/optimum"
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		<div class="underline">Quantize Transformers with Intel® Neural Compressor and Optimum</div>
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	<a href="https://huggingface.co/blog/generative-ai-models-on-intel-cpu" class="block overflow-hidden group">
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		<div class="underline">Quantizing 7B LLM on Intel CPU</div>
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	    Intel optimizes widely adopted and innovative AI software 
	    tools, frameworks, and libraries for Intel® architecture. Whether 
	    you are computing locally or deploying AI applications on a massive 
	    scale, your organization can achieve peak performance with AI 
	    software optimized for Intel® Xeon® Scalable platforms.
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	    Intel’s engineering collaboration with Hugging Face offers state-of-the-art hardware and software acceleration to train, fine-tune and predict with Transformers. 
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	  <h3>Useful Resources:</h3>
	  <ul>
	  	<li class="ml-6"><a href="https://huggingface.co/hardware/intel" class="underline" data-ga-category="intel-org" data-ga-action="clicked partner page" data-ga-label="partner page">Intel AI + Hugging Face partner page</a></li>
	  	<li class="ml-6"><a href="https://github.com/IntelAI" class="underline" data-ga-category="intel-org" data-ga-action="clicked intel ai github" data-ga-label="intel ai github">Intel AI GitHub</a></li>
        <li class="ml-6"><a href="https://www.intel.com/content/www/us/en/developer/partner/hugging-face.html" class="underline" data-ga-category="intel-org" data-ga-action="clicked intel partner page" data-ga-label="intel partner page">Developer Resources from Intel and Hugging Face</a></li>
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      <h1>Get Started</h1>
      <h3>1. Intel Acceleration Libraries</h3>
	  <p class="mb-2">
	    To get started with Intel hardware and software optimizations, download and install the Optimum Intel 
        and Intel® Extension for Transformers libraries. Follow these documents to learn how to install and use these libraries:
	  </p>
	  <ul>
	  	<li class="ml-6"><a href="https://github.com/huggingface/optimum-intel#readme" class="underline" data-ga-category="intel-org" data-ga-action="clicked optimum intel" data-ga-label="optimum intel">🤗 Optimum Intel library</a></li>
	  	<li class="ml-6"><a href="https://github.com/intel/intel-extension-for-transformers#readme" class="underline" data-ga-category="intel-org" data-ga-action="clicked intel extension for transformers" data-ga-label="intel extension for transformers">Intel® Extension for Transformers</a></li>
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      <p class="mb-2">
        The Optimum Intel library provides primarily hardware acceleration, while the Intel® Extension 
        for Transformers is focused more on software accleration. Both should be present to achieve ideal
        performance and productivity gains in transfer learning and fine-tuning with Hugging Face.
      </p>
      <h3>2. Find Your Model</h3>
      <p class="mb-2">
        Next, find your desired model (and dataset) by using the search box at the top-left of Hugging Face’s website. 
        Add “intel” to your search to narrow your search to models pretrained by Intel.
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        src="https://huggingface.co/spaces/Intel/README/resolve/main/hf-model_search.png"
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      <h3>3. Read Through the Demo, Dataset, and Quick-Start Commands</h3>
      <p class="mb-2">
        On the model’s page (called a “Model Card”) you will find description and usage information, an embedded 
        inferencing demo, and the associated dataset. In the upper-right of your screen, click “Use in Transformers” 
        for helpful code hints on how to import the model to your own workspace with an established Hugging Face pipeline and tokenizer.
      </p>
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