whisper-turbo-mlx 0.0.1rc5

Whisper Turbo in MLX

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.