Instructions to use Avdpro/MLX-RVC-Serena-E70 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Avdpro/MLX-RVC-Serena-E70 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Avdpro/MLX-RVC-Serena-E70 --local-dir MLX-RVC-Serena-E70
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download contentvec/model.safetensors from Avdpro/MLX-RVC-Serena-E70: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Avdpro/MLX-RVC-Serena-E70/resolve/main/contentvec/model.safetensors
- Command line
-
hf download hf://Avdpro/MLX-RVC-Serena-E70/contentvec/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Avdpro/MLX-RVC-Serena-E70/resolve/main/contentvec/model.safetensors
378 MB
- Xet hash:
- 257de085ea6ee7da1912a778dbc3bc9c0cc9ec67c5fb09789b2a93fd695fd7e3
- Size of remote file:
- 378 MB
- SHA256:
- b48c857246d3f7336edeb577b1b630a5c2056e71b70ca28f8112ea4d500de6ff
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