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
File size: 520 Bytes
2ef316c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"schema": "ai2apps.mlx-rvc-hubert/v1",
"source": {
"name": "pytorch_model.bin",
"sha256": "cc8c20f4b90a520757260197a3ff2505705a7adbd20ad9eeaa4e1a9b38442ef5"
},
"weights": {
"name": "model.safetensors",
"sha256": "b48c857246d3f7336edeb577b1b630a5c2056e71b70ca28f8112ea4d500de6ff",
"tensor_count": 212,
"parameter_count": 94567808,
"dtype": "float32"
},
"config": {
"name": "config.json",
"sha256": "19f6df5cafd00a0453e52440890be09193118f2ed573377586112d45b497cba4"
}
}
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