Instructions to use Manel/Vocos-YuE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manel/Vocos-YuE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Manel/Vocos-YuE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Manel/Vocos-YuE: direct link, hf CLI and curl.
- Browser
- Download file 421 Bytes
-
https://huggingface.co/Manel/Vocos-YuE/resolve/main/config.json
- Command line
-
hf download hf://Manel/Vocos-YuE/config.json
-
curl -L -o config.json https://huggingface.co/Manel/Vocos-YuE/resolve/main/config.json
421 Bytes
| { | |
| "architectures": [ | |
| "VocosModel" | |
| ], | |
| "hidden_dim": 512, | |
| "hop_length": 882, | |
| "input_channels": 1024, | |
| "intermediate_dim": 1536, | |
| "kernel_size": 7, | |
| "layer_norm_eps": 1e-06, | |
| "layer_scale_init_value": 0.125, | |
| "model_type": "vocos", | |
| "n_fft": 3528, | |
| "num_layers": 8, | |
| "padding": 3, | |
| "spec_padding": "same", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.53.0", | |
| "use_adaptive_norm": false | |
| } | |