Instructions to use mlx-community/whisper-base-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/whisper-base-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-base-mlx mlx-community/whisper-base-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 8026d3ecb5e4960711973d57a54ffcfad4e61645a8da27208b7f1d10e9a07589
- Size of remote file:
- 144 MB
- SHA256:
- 2f57d5f3ef473054c638961f90716f4ee415e8108de81313eccb2c5fd62eff0b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.