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| title: README | |
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| Intel and Hugging Face are collaborating to push the state of the art | |
| in Machine Learning workloads efficiency and performance. | |
| </p> | |
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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> | |
| </a> | |
| <a href="https://huggingface.co/blog/bert-cpu-scaling-part-2" class="block overflow-hidden group"> | |
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| <div class="underline">Scaling up BERT on CPU</div> | |
| </a> | |
| <a | |
| href="https://www.intel.com/content/www/us/en/artificial-intelligence/overview.html" | |
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| <div class="underline">Intel Artificial Intelligence Solutions</div> | |
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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 Data | |
| Scientists and Machine Learning Engineers state of the art performance | |
| when using state of the art Transformer models from training to | |
| production. | |
| </p> | |
| </div> |