在 Hugging Face 上部署語音對語音 (Speech-to-Speech) 模型
Original: Deploying Speech-to-Speech on Hugging Face
As real-time voice interaction technologies like GPT-4o become more widespread, the open-source community is also actively developing…
Hugging Face 發布技術教學，介紹如何在 Inference Endpoints 上部署語音對語音（Speech-to-Speech, S2S）模型。透過自訂 EndpointHandler 與串流（Streaming）技術，開發者可以實現低延遲的即時語音互動。本文以開源的 Mini-Omni 模型為例，展示了從環境設定、撰寫自訂推論邏輯到部署至 GPU 節點的完整流程。
As real-time voice interaction technologies like GPT-4o become more widespread, the open-source community is also actively developing speech-to-speech (S2S) models. The Hugging Face official blog has published a guide detailing how to deploy these demanding real-time voice models using Hugging Face Inference Endpoints.
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