Transformers 函式庫：標準化模型定義
Original: The Transformers Library: standardizing model definitions
Hugging Face's `transformers` library has become the cornerstone of the global open-source AI community and large language model (LLM)…
Hugging Face 針對其核心 `transformers` 函式庫進行重大架構更新，旨在標準化模型定義。過去為了易讀性而採用的「單一檔案政策」導致了嚴重的程式碼重複，難以進行全域優化。新標準化方案將引入模組化設計，統一常見組件（如 Attention、MLP），在保持可讀性的同時，大幅簡化新模型開發與硬體加速（如 Flash Attention）的整合。
Hugging Face's `transformers` library has become the cornerstone of the global open-source AI community and large language model (LLM) development. However, as the number of supported models surpasses several hundred, its long-standing design philosophy — the "single-file policy" (where each model's code is kept as self-contained as possible, preferring copy-paste over deep abstraction) — is facing severe maintenance challenges.
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