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 ai2apps-checkpoint.json from Avdpro/MLX-RVC-Serena-E70: direct link, hf CLI and curl.
- Browser
- Download file 3.1 kB
-
https://huggingface.co/Avdpro/MLX-RVC-Serena-E70/resolve/main/ai2apps-checkpoint.json
- Command line
-
hf download hf://Avdpro/MLX-RVC-Serena-E70/ai2apps-checkpoint.json
-
curl -L -o ai2apps-checkpoint.json https://huggingface.co/Avdpro/MLX-RVC-Serena-E70/resolve/main/ai2apps-checkpoint.json
3.1 kB
| { | |
| "schema": "ai2apps.mlx-rvc-composite/v1", | |
| "architecture": "rvc-v2-48khz-f0", | |
| "default_voice": "qwen3-tts-serena-mlx-e70", | |
| "synthetic_test_voice": true, | |
| "components": { | |
| "voice": "voice", | |
| "contentvec": "contentvec", | |
| "rmvpe": "rmvpe", | |
| "training": "training" | |
| }, | |
| "files": [ | |
| { | |
| "path": "voice/model.safetensors", | |
| "size": 114813793, | |
| "sha256": "f48790573f69181a6c484ef42b7c3c53e2e0c9aef20bb9fcdbe1b308f5fcb51b" | |
| }, | |
| { | |
| "path": "voice/model.json", | |
| "size": 1161, | |
| "sha256": "4c281367c28498de0cac9293d0a3e7093ebe0053e95288f9f3763af85123cd70" | |
| }, | |
| { | |
| "path": "voice/index.safetensors", | |
| "size": 119574691, | |
| "sha256": "f7423504ca761372fa2ee629b9674aa24c26052e5656326bde067b5f865d3935" | |
| }, | |
| { | |
| "path": "voice/index.json", | |
| "size": 386, | |
| "sha256": "26f1f310fdf9af8a4f38f12c6c8289c052cd861995c8ebe10c86573f1c32016f" | |
| }, | |
| { | |
| "path": "contentvec/model.safetensors", | |
| "size": 378295160, | |
| "sha256": "b48c857246d3f7336edeb577b1b630a5c2056e71b70ca28f8112ea4d500de6ff" | |
| }, | |
| { | |
| "path": "contentvec/config.json", | |
| "size": 1420, | |
| "sha256": "19f6df5cafd00a0453e52440890be09193118f2ed573377586112d45b497cba4" | |
| }, | |
| { | |
| "path": "contentvec/manifest.json", | |
| "size": 520, | |
| "sha256": "dfd518c023dc0eb21b7c5e2f66ba7c1fc8879913d01aff4fba84bf3d435e3446" | |
| }, | |
| { | |
| "path": "rmvpe/model.safetensors", | |
| "size": 361962308, | |
| "sha256": "4499dcbe171d647eacf12d92e0c716b2001bf395352cc1e1ee67fc2268b90725" | |
| }, | |
| { | |
| "path": "rmvpe/mel_basis.safetensors", | |
| "size": 262744, | |
| "sha256": "0d2aee53804e40634cd1a75bae3afaec7b8613e92eb0d23c69d99bc169b2d9da" | |
| }, | |
| { | |
| "path": "rmvpe/manifest.json", | |
| "size": 441, | |
| "sha256": "c5087cfb5ed6395e6e151f639cc87eb6bad0994bf06c71d7b765ed83690f5b14" | |
| }, | |
| { | |
| "path": "training/generator.safetensors", | |
| "size": 150433888, | |
| "sha256": "d2979ac5acf184ead3b5c62232d083e72ba7592441509ca88f6a496acca00573" | |
| }, | |
| { | |
| "path": "training/discriminator.safetensors", | |
| "size": 285553012, | |
| "sha256": "6672bcb014b6b8d1ba87f9bf9caffc4c1cb6f73375184ce4156d13c13437441c" | |
| }, | |
| { | |
| "path": "training/manifest.json", | |
| "size": 905, | |
| "sha256": "6d3ecfc37a9f8da68577d3a8f1d6b77c90da2497d2be52d2845a1287469ff916" | |
| }, | |
| { | |
| "path": "model.safetensors", | |
| "size": 84, | |
| "sha256": "c65a26f756b73c84d06d89070db06bb3a491022cb871f0a771ef7c743c418dbf" | |
| }, | |
| { | |
| "path": "README.md", | |
| "size": 970, | |
| "sha256": "e5cd710ab7ac2329fa200cb57b310ccd3e2d6081284085ff977b46ac7444b1af" | |
| }, | |
| { | |
| "path": "NOTICE.md", | |
| "size": 670, | |
| "sha256": "1520786160efa529c76e1d614e97f4d22d02af184fc073466f394b290eb0d5fe" | |
| }, | |
| { | |
| "path": "LICENSE", | |
| "size": 1142, | |
| "sha256": "bec61ed1eb9a3748644ddbc50303aa6978e14eeaba46822e59a006c722b52585" | |
| }, | |
| { | |
| "path": "config.json", | |
| "size": 186, | |
| "sha256": "653705278fd627393077dcb40c6fe401532d240608ea6ba437082700be1b24b5" | |
| } | |
| ] | |
| } | |