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mlx-stt
Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.
安装与使用
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。
SkillHub CLI
skillhub install guoqiao/mlx-stt打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。
技能说明
MLX STT
Speech-To-Text/ASR/Transcribe with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.
Free and Accurate. No api key required. No server required.
Requirements
-
mlx: macOS with Apple Silicon -
brew: 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 needed -
uv: install python package and run python script -
mlx_audio: do the real job
Usage
To transcribe an audio file, run this script:
bash ${baseDir}/mlx-stt.sh <audio_file_path>
- First run could be a little slow, since it will need to download model.
- The transcript result will be printed to stdout.
来源信息
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/guoqiao/mlx-stt
- Version
- 1.0.7
- Commit
- 93b85bb6e3f1d4f9a2671966c9204a420a9e0ff6
- 分类来源
- rules
- 状态
- active
- 可见性
- public
这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。
来源内容
SKILL.md
# MLX STT
Speech-To-Text/ASR/Transcribe with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.
Free and Accurate. No api key required. No server required.
## Requirements
- `mlx`: macOS with Apple Silicon
- `brew`: used to install deps if not available
## Installation
```bash
bash ${baseDir}/install.sh
```
This script will use `brew` to install these cli tools if not available:
- `ffmpeg`: convert audio format when needed
- `uv`: install python package and run python script
- `mlx_audio`: do the real job
## Usage
To transcribe an audio file, run this script:
```bash
bash ${baseDir}/mlx-stt.sh <audio_file_path>
```
- First run could be a little slow, since it will need to download model.
- The transcript result will be printed to stdout.相关技能
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