Hugging Face 推出 Swift Transformers：在 Apple 裝置上本地端運行 LLM
Original: Releasing Swift Transformers: Run On-Device LLMs in Apple Devices
Hugging Face has officially announced the release of a new open-source Swift package — `swift-transformers`. This tool is designed…
Hugging Face 宣布推出全新開源 Swift 套件 `swift-transformers`，旨在簡化在 Apple 裝置（iOS、macOS）上部署與運行本地端大型語言模型（LLM）的流程。該套件支援 Tokenization 與模型推理，並能與 Apple 的 Core ML 框架緊密結合，充分發揮 Apple Silicon 的硬體加速優勢，為行動端應用帶來更隱私、低延遲的 AI 體驗。
Hugging Face has officially announced the release of a new open-source Swift package — `swift-transformers`. This tool is designed specifically for developers in the Apple ecosystem, aiming to solve the cumbersome development processes and technical hurdles previously faced when deploying and running large language models (LLMs) and other Transformer-architecture models on platforms such as iOS, macOS, watchOS, and iPadOS.
Free shows the 3-line summary; Pro unlocks the full deep summary (~300 words) so you never have to click through.
See Pro plans →Want the original English / full article?
Read on Hugging Face Blog →Summaries are AI-generated; the original article is authoritative.