Instructions to use mlx-community/Cocktail-Fork-MRX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Cocktail-Fork-MRX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Cocktail-Fork-MRX mlx-community/Cocktail-Fork-MRX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "model_type": "mrx", | |
| "architecture": "MRX (Multi-Resolution CrossNet)", | |
| "n_sources": 3, | |
| "window_lengths": [ | |
| 1024, | |
| 2048, | |
| 8192 | |
| ], | |
| "n_hop": 256, | |
| "n_hidden": 512, | |
| "n_lstm_layers": 3, | |
| "sample_rate": 44100, | |
| "source_names": [ | |
| "music", | |
| "speech", | |
| "sfx" | |
| ], | |
| "upstream": "merlresearch/cocktail-fork-separation", | |
| "license": "MIT", | |
| "port_version": "0.1.0", | |
| "dtype": "float32" | |
| } |