Audio-to-Audio
MambaSSM
Safetensors
speech-enhancement
universal speech enhancement
multiple input sampling rates
language-agnostic
Instructions to use nvidia/RE-USE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MambaSSM
How to use nvidia/RE-USE with MambaSSM:
from mamba_ssm import MambaLMHeadModel model = MambaLMHeadModel.from_pretrained("nvidia/RE-USE") - Notebooks
- Google Colab
- Kaggle
File size: 830 Bytes
fa5f09a 9bfa26c fa5f09a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | {
"env_setting": {
"checkpoint_interval": 5000,
"dist_cfg": {
"dist_backend": "nccl",
"dist_url": "tcp://localhost:19478",
"world_size": 1
},
"num_gpus": 8,
"num_workers": 20,
"persistent_workers": true,
"pin_memory": true,
"prefetch_factor": 8,
"seed": 1234,
"stdout_interval": 5000,
"validation_interval": 5000
},
"model_cfg": {
"beta": 2.0,
"compress_factor": "relu_log1p",
"d_conv": 4,
"d_state": 16,
"expand": 4,
"hid_feature": 64,
"inner_mamba_nlayer": 1,
"input_channel": 2,
"mapping": true,
"nonlinear": "None",
"norm_epsilon": 1e-05,
"num_tfmamba": 30,
"output_channel": 1
},
"stft_cfg": {
"hop_size": 40,
"n_fft": 320,
"sampling_rate": 8000,
"sfi": true,
"win_size": 320
}
} |