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BytesAgain β€Ί Skills β€Ί Faster Whisper Local
πŸ¦€ ClawHub

Faster Whisper Local

by @jeminay

Local speech-to-text using faster-whisper. High-performance transcription with GPU acceleration support. Includes word-level timestamps and distilled models....

Versionv1.0.0
Downloads1,794
Stars⭐ 2
#writing#video#audio#legal#gaming
TERMINAL
clawhub install faster-whisper-local

πŸ“– About This Skill

name: faster-whisper description: 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". metadata: { "openclaw": { "requires": { "bins": ["ffmpeg", "python3"], "pip": ["faster-whisper", "torch"], }, }, }

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.

./setup.sh

Requirements:

  • Python 3.10 or later
  • ffmpeg (installed on the system)

    • Usage

    Use the transcription script to process audio files.

    Basic Transcription

    ./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.

    • πŸ’‘ Examples

    Use the transcription script to process audio files.

    Basic Transcription

    ./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

    • βš™οΈ Configuration

    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.

    ./setup.sh

    Requirements:

  • Python 3.10 or later
  • ffmpeg (installed on the system)

    • πŸ“‹ Tips & Best Practices

  • 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.