使用 DeepSpeed 與 Hugging Face Accelerate 加速超大型模型訓練
Original: Accelerate Large Model Training using DeepSpeed
This official Hugging Face blog post provides a detailed walkthrough of how to combine the `Accelerate` library with Microsoft's…
本文介紹 Hugging Face Accelerate 與 Microsoft DeepSpeed 的整合方案。開發者只需透過簡單的 CLI 設定，即可在不修改 PyTorch 程式碼的前提下，啟用 ZeRO-Stage 1/2/3 與 ZeRO-Offload 技術。這大幅降低了單機多卡或多機多卡訓練超大型模型的門檻，有效解決 GPU 記憶體不足（OOM）的痛點。
This official Hugging Face blog post provides a detailed walkthrough of how to combine the `Accelerate` library with Microsoft's `DeepSpeed` deep learning optimization library to effortlessly enable distributed training of very large AI models.
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