Overview
- Skill Key
- damirikys/faster-whisper-local
- Author
- damirikys
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/damirikys/faster-whisper-local
- Latest Commit SHA
- 3c0fd381a55f92b13549fab08c2d2aa75ac8d048
Official OpenClaw
rules
15%
faster-whisper
Local speech-to-text using faster-whisper. High-performance transcription with GPU acceleration support. Includes word-level timestamps and distilled models. Use when asked to "transcribe audio", "whisper", or "speech to text".
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 faster-whisper 技能。 若已安装，则直接安装 faster-whisper 技能。
Extracted Content
SKILL.md excerpt
# Faster-Whisper High-performance local speech-to-text using faster-whisper. ## Setup ### 1. Run Setup Script Execute the setup script to create a virtual environment and install dependencies. It will automatically detect NVIDIA GPUs for CUDA acceleration. ```bash ./setup.sh ``` Requirements: - Python 3.10 or later - ffmpeg (installed on the system) ## Usage Use the transcription script to process audio files. ### Basic Transcription ```bash ./scripts/transcribe audio.mp3 ``` ### Advanced Options - **Specific Model**: `./scripts/transcribe audio.mp3 --model large-v3-turbo` - **Word Timestamps**: `./scripts/transcribe audio.mp3 --word-timestamps` - **JSON Output**: `./scripts/transcribe audio.mp3 --json` - **VAD (Silence Removal)**: `./scripts/transcribe audio.mp3 --vad` ## Available Models - `distil-large-v3` (default): Best balance of speed and accuracy. - `large-v3-turbo`: Recommended for multilingual or highest accuracy tasks. - `medium.en`, `small.en`: Faster, English-only versions. ## Troubleshooting - **No GPU detected**: Ensure NVIDIA drivers and CUDA are correctly installed. CPU transcription is significantly slower. - **OOM Error**: Use a smaller model (e.g., `small` or `base`) or use `--compute-type int8`.
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