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README.md
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tools, frameworks, and libraries for Intel® architecture. Whether
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you are computing locally or deploying AI applications on a massive
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scale, your organization can achieve peak performance with AI
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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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<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"
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<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"
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<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"
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Intel provides a complete foundation for accelerated AI with the Intel Xeon Scalable CPU platform and a wide range of hardware-optimized AI software tools, frameworks, and libraries. With the <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>, Intel and Hugging Face are making it easy for Hugging Face users to get the best performance for their models on Intel Xeon processors, leveraging acceleration libraries including Intel Neural Compressor and OpenVINO.
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To learn more about the partnership and Intel AI tools, check out these resources:
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<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>
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<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>
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<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>
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