mlx-stt
Speech-To-Text with MLX (Apple Silicon) and GLM-ASR-Nano-2512 locally.
- License 许可
- MIT
- 最近更新
- 2026-08-23
- Stars
- ★ 1
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01 前言 Front Matter
- name
- mlx-stt
- metadata
- { "openclaw": { "os": [ "darwin" ], "tags": [ "latest", "asr", "stt", "speech-to-text", "audio", "glm", "glm-asr", "glm-asr-nano-2512", "glm-asr-nano-2512-8bit", "macOS", "MacBook", "Mac mini", "Apple Silicon", "mlx", "mlx-audio" ], "emoji": "?", "always": true, "homepage": "https://github.com/guoqiao/skills/blob/main/mlx-stt/mlx-stt/SKILL.md", "requires": { "bins": [ "brew" ] } } }
- description
- Speech-To-Text with MLX (Apple Silicon) and GLM-ASR-Nano-2512 locally.
02 资源文件 3
- 参考文档_meta.json973 B
- 脚本install.sh382 B
- 脚本mlx-stt.py3.4 KB
03 SKILL.md 正文
MLX STT
Speech-To-Text/ASR/Transcribe with MLX (Apple Silicon) and GLM-ASR-Nano-2512 locally.
Free and Accurate. No api key required. No server required.
Requirements
mlx: macOS with Apple Siliconbrew: used to install deps if not available
Installation
bash ${baseDir}/install.sh
This script will use brew to install these cli tools if not available:
ffmpeg: convert audio format when neededuv: install python package and run python scriptmlx_audio: do the real job
Usage
To transcribe an audio file, run the mlx-stt.py script:
uv run ${baseDir}/mlx-stt.py <audio_file_path>
- When first run, it will download model from Hugging Face, default:
mlx-community/GLM-ASR-Nano-2512-8bit, 2.5GB ish. - The transcript result will be printed to stdout.
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