Benchmarking Language Model Performance on 5th Gen Xeon at GCP
•
5
Intel
company
Verified
![\"image/png\"](https://huggingface.co/"https://cdn-uploads.huggingface.co/production/uploads/64ee69fd5ab6f185d88582b3/brbNReAuvLhQt-IKbSvrt.png/")
\nIntel on Hugging Face
\nIntel and Hugging Face are building powerful optimization tools to accelerate training and inference with Hugging Face libraries.
\nGet started on Intel architecture with Optimum Intel and Optimum Habana
\nTo get started with Hugging Face Transformers software on Intel, visit the resources listed below.
\nOptimum Intel - To deploy on Intel® Xeon, Intel® Max Series GPU, and Intel® Core Ultra, check out optimum-intel, the interface between Intel architectures and the 🤗 Transformers and Diffusers libraries. You can use these backends:
\n\n\t\n\t\t
\n
\n| Backend | \nInstallation | \n
|---|---|
| OpenVINO™ | \npip install --upgrade --upgrade-strategy eager \"optimum[openvino]\" | \n
| Intel® Extension for PyTorch* | \npip install --upgrade --upgrade-strategy eager \"optimum[ipex]\" | \n
| Intel® Neural Compressor | \npip install --upgrade --upgrade-strategy eager \"optimum[neural-compressor]\" | \n
Optimum Habana - To deploy on Intel® Gaudi® AI accelerators, check out optimum-habana, the interface between Gaudi and the 🤗 Transformers and Diffusers libraries. To install the latest stable release:
\npip install --upgrade-strategy eager optimum[habana]\nWays to get involved
\nCheck out the Intel® Tiber™ AI Cloud to run your latest GenAI or LLM workload on Intel architecture.
\nWant to share your model fine-tuned on Intel architecture? And for more detailed deployment tips and sample code, please visit the \"Deployment Tips\" tab from the Powered-by-Intel LLM Leaderboard.
\nJoin us on the Intel DevHub Discord to ask questions and interact with our AI developer community.
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