Instructions to use HashNuke/whisper-tiny-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use HashNuke/whisper-tiny-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-tiny-mlx HashNuke/whisper-tiny-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 8ea388c0025b03aafa1edc47844f77f21b8b175b617b3da7539f743887a0b562
- Size of remote file:
- 74.4 MB
- SHA256:
- 54b72459aed2ad659820e5c9969b8535a9b73481f7b42eda0e21bc509014f60d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.