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] huggingface-cli download --local-dir MLX-RVC-Serena-E70 Avdpro/MLX-RVC-Serena-E70
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download config.json from Avdpro/MLX-RVC-Serena-E70: direct link, hf CLI and curl.
- Browser
- Download file 186 Bytes
-
https://huggingface.co/Avdpro/MLX-RVC-Serena-E70/resolve/main/config.json
- Command line
-
hf download hf://Avdpro/MLX-RVC-Serena-E70/config.json
-
curl -L -o config.json https://huggingface.co/Avdpro/MLX-RVC-Serena-E70/resolve/main/config.json
186 Bytes
| { | |
| "model_type": "mlx_rvc_composite", | |
| "architectures": ["RVCV2ForVoiceConversion"], | |
| "sample_rate": 48000, | |
| "uses_f0": true, | |
| "checkpoint_schema": "ai2apps.mlx-rvc-composite/v1" | |
| } | |