Instructions to use audiohacking/pruna-vaed-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use audiohacking/pruna-vaed-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir pruna-vaed-mlx audiohacking/pruna-vaed-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 405b971331e23588e83cc24b6456bf5ad1e16e2b76ead822290f45151563ddb9
- Size of remote file:
- 690 MB
- SHA256:
- 3fd3fab549c413dd8fb054a23833c85c186e9747950025fbb0d7f559d2651b12
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