Download config.json from lab260/redimnet2-plus: direct link, hf CLI and curl.
- Browser
- Download file 554 Bytes
-
https://huggingface.co/lab260/redimnet2-plus/resolve/main/config.json
- Command line
-
hf download hf://lab260/redimnet2-plus/config.json
-
curl -L -o config.json https://huggingface.co/lab260/redimnet2-plus/resolve/main/config.json
554 Bytes
| { | |
| "model_type": "redimnet2", | |
| "model_name": "b6", | |
| "embed_dim": 192, | |
| "sample_rate": 16000, | |
| "n_mels": 64, | |
| "hop_length": 160, | |
| "n_fft": 512, | |
| "max_duration_sec": 60, | |
| "architecture": { | |
| "encoder": "ReDimNet2Encoder", | |
| "initial_channels": 64, | |
| "out_channels": 224, | |
| "pooling": "ASTP", | |
| "return_2d_output": false | |
| }, | |
| "training": { | |
| "train_type": "lm", | |
| "dataset": "vox2", | |
| "loss": "sphereface2" | |
| }, | |
| "format": { | |
| "file_format": "pytorch_state_dict", | |
| "key_prefix": "_orig_mod.", | |
| "strip_prefix": true | |
| } | |
| } | |