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title: README
emoji: 🐢
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colorTo: gray
sdk: static
pinned: false
---

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	  Intel and Hugging Face are building powerful optimization tools to accelerate training and inference with Transformers. <a href="https://huggingface.co/hardware/intel" class="underline" data-ga-category="intel-org" data-ga-action="clicked learn more" data-ga-label="learn more">Learn more</a> about how Intel AI can help you achieve the best performance and productivity with Transformers.
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	<a
		href="https://github.com/huggingface/optimum"
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				src="https://cdn-media.huggingface.co/marketing/intel-page/Intel-Hugging-Face-alt-version2-org-page.png"
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		<div class="underline">Learn more</div>
	</a>
	<a
		href="https://github.com/huggingface/optimum"
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				src="/blog/assets/25_hardware_partners_program/carbon_inc_quantizer.png"
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		<div class="underline">Quantize Transformers with Intel Neural Compressor and Optimum</div>
	</a>
	<a href="https://huggingface.co/blog/bert-cpu-scaling-part-2" class="block overflow-hidden group">
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				src="/blog/assets/21_bert_cpu_scaling_part_1/imgs/numa_set.png"
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		<div class="underline">Scaling up BERT on CPU</div>
	</a>
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		<p class="mb-2">
	    Intel optimizes the most 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.
		</p>
		<p class="mb-2">
	    Intel’s engineering collaboration with Hugging Face offers state-of-the-art hardware and software acceleration to train, fine-tune and predict with Transformers. 
	  </p>
	  <p>
	  	Useful Resources:
	  </p>
	  <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/huggingface/optimum-intel" 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/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>
	  </ul>
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