Hugging Face 与 Cerebras 搭建了开放、模块化的实时语音到语音管线,以 Nvidia Parakeet 识别语音、在 Cerebras 上运行 Google DeepMind Gemma 4 31B,并通过阿里巴巴 Qwen3TTS 生成语音回复。Cerebras 旨在缩短并稳定模型推理延迟;该管线已用于超过 9,000 台 Reachy Mini 机器人,开发者可体验 Demo 并查看 huggingface/speech-to-speech 仓库。
Hugging Face 与 Cerebras 搭建了开放、模块化的实时语音到语音管线,以 Nvidia Parakeet 识别语音、在 Cerebras 上运行 Google DeepMind Gemma 4 31B,并通过阿里巴巴 Qwen3TTS 生成语音回复。Cerebras 旨在缩短并稳定模型推理延迟;该管线已用于超过 9,000 台 Reachy Mini 机器人,开发者可体验 Demo 并查看 huggingface/speech-to-speech 仓库。 · Hugging Face and Cerebras built an open, modular real-time speech-to-speech pipeline using Nvidia Parakeet for speech recognition, Google DeepMind’s Gemma 4 31B running on Cerebras, and Alibaba’s Qwen3TTS for spoken responses. Cerebras is intended to reduce a
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