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: 386 Bytes
2ef316c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"schema": "ai2apps.mlx-rvc-retrieval/v1",
"source": {
"name": "native-mlx-training-cache"
},
"vectors": {
"name": "index.safetensors",
"sha256": "f7423504ca761372fa2ee629b9674aa24c26052e5656326bde067b5f865d3935",
"count": 38924,
"dimensions": 768,
"dtype": "float32"
},
"search": {
"implementation": "mlx-exact-top-k",
"neighbors": 8
}
}
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