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
| { | |
| "source": "PrunaAI/PrunaVAED", | |
| "hub_repo": "audiohacking/pruna-vaed-mlx", | |
| "recipe": "pruna-vaed", | |
| "components": [ | |
| "vae_decoder_pruna" | |
| ], | |
| "variant": "pruna", | |
| "decoder_block_out_channels": [ | |
| 128, | |
| 256, | |
| 384, | |
| 1024 | |
| ] | |
| } | |