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
File size: 251 Bytes
a4fc87f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"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
]
}
|