Instructions to use mlx-community/whisper-large-v3-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/whisper-large-v3-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-large-v3-mlx-8bit mlx-community/whisper-large-v3-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
whisper-large-v3-mlx-8bit
This model was converted to MLX format from large-v3.
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", path_or_hf_repo="mlx-community/whisper-large-v3-mlx-8bit")
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