Instructions to use HashNuke/whisper-medium.en-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use HashNuke/whisper-medium.en-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-medium.en-mlx HashNuke/whisper-medium.en-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
whisper-medium.en-mlx
This model was converted to MLX format from medium.en.
Use with mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/whisper/
pip install -r requirements.txt
>> import whisper
>> whisper.transcribe("FILE_NAME")
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Hardware compatibility
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