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 voice/model.json from Avdpro/MLX-RVC-Serena-E70: direct link, hf CLI and curl.
- Browser
- Download file 1.16 kB
-
https://huggingface.co/Avdpro/MLX-RVC-Serena-E70/resolve/main/voice/model.json
- Command line
-
hf download hf://Avdpro/MLX-RVC-Serena-E70/voice/model.json
-
curl -L -o model.json https://huggingface.co/Avdpro/MLX-RVC-Serena-E70/resolve/main/voice/model.json
1.16 kB
| { | |
| "schema": "ai2apps.mlx-rvc-checkpoint/v1", | |
| "source": { | |
| "name": "native-mlx-training", | |
| "synthetic": false | |
| }, | |
| "weights": { | |
| "name": "model.safetensors", | |
| "sha256": "f48790573f69181a6c484ef42b7c3c53e2e0c9aef20bb9fcdbe1b308f5fcb51b", | |
| "tensor_count": 353, | |
| "parameter_count": 28694338, | |
| "dtype": "float32" | |
| }, | |
| "model": { | |
| "spec_channels": 1025, | |
| "segment_size": 36, | |
| "inter_channels": 192, | |
| "hidden_channels": 192, | |
| "filter_channels": 768, | |
| "heads": 2, | |
| "layers": 6, | |
| "kernel_size": 3, | |
| "dropout": 0.0, | |
| "resblock": "1", | |
| "resblock_kernel_sizes": [ | |
| 3, | |
| 7, | |
| 11 | |
| ], | |
| "resblock_dilation_sizes": [ | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ], | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ], | |
| [ | |
| 1, | |
| 3, | |
| 5 | |
| ] | |
| ], | |
| "upsample_rates": [ | |
| 12, | |
| 10, | |
| 2, | |
| 2 | |
| ], | |
| "upsample_initial_channels": 512, | |
| "upsample_kernel_sizes": [ | |
| 24, | |
| 20, | |
| 4, | |
| 4 | |
| ], | |
| "speaker_count": 109, | |
| "speaker_embedding_channels": 256, | |
| "sample_rate": 48000, | |
| "feature_version": "v2", | |
| "uses_f0": true | |
| } | |
| } | |