使用 Intel Sapphire Rapids 加速 PyTorch Transformer 模型推論（第二部分）
Original: Accelerating PyTorch Transformers with Intel Sapphire Rapids - part 2
This article is the second installment of a Hugging Face series on accelerating PyTorch Transformer models on Intel's 4th-generation Xeon…
本文為 Hugging Face 與 Intel 合作系列文章的第二部分，聚焦於推論加速。介紹如何透過 Intel 第四代 Xeon 可擴充處理器（Sapphire Rapids）內建的 Intel AMX 技術，並結合 Hugging Face Optimum Intel 與 IPEX 工具，實現 BF16 與 INT8 的混合精度推論。測試顯示，這能為 Transformer 模型帶來數倍的效能提升，且只需修改極少量的代碼。
This article is the second installment of a Hugging Face series on accelerating PyTorch Transformer models on Intel's 4th-generation Xeon Scalable Processors (codenamed Sapphire Rapids), with a focus on inference optimization.
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