Instructions to use Avdpro/MLX-Seed-VC-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Avdpro/MLX-Seed-VC-v2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Avdpro/MLX-Seed-VC-v2 --local-dir MLX-Seed-VC-v2
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download config.json from Avdpro/MLX-Seed-VC-v2: direct link, hf CLI and curl.
- Browser
- Download file 184 Bytes
-
https://huggingface.co/Avdpro/MLX-Seed-VC-v2/resolve/main/config.json
- Command line
-
hf download hf://Avdpro/MLX-Seed-VC-v2/config.json
-
curl -L -o config.json https://huggingface.co/Avdpro/MLX-Seed-VC-v2/resolve/main/config.json
184 Bytes
| { | |
| "model_type": "mlx_seed_vc_v2_composite", | |
| "architectures": ["SeedVCV2ForVoiceConversion"], | |
| "sample_rate": 22050, | |
| "checkpoint_schema": "ai2apps.mlx-seed-vc-v2-composite/v1" | |
| } | |