Whisper Turbo in MLX
Project description
WTM (Whisper Turbo MLX)
This repository provides a fast implementation of the Whisper model using MLX, designed for efficient audio transcription.
Features
- Fast Audio Transcription: Optimized for quick processing.
- Simplified Architecture: Focus on ease of use with minimal decoding strategies.
- Custom Tokenizer: Supports multilingual tokenization.
Installation
# Quick install (note: PyPI version may not always be up to date)
brew install ffmpeg
pip install whisper-turbo-mlx
# For the latest version, you can install directly from the repository:
# git clone https://github.com/JosefAlbers/whisper-turbo-mlx.git
# cd whisper-turbo-mlx
# pip install -e .
Usage
To transcribe an audio file, call the transcribe function:
transcribe 'test.wav'
Contributing
Contributions are welcome! Feel free to submit issues or pull requests.
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