Instructions to use JorisCos/ConvTasNet_Libri3Mix_sepnoisy_8k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use JorisCos/ConvTasNet_Libri3Mix_sepnoisy_8k with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("JorisCos/ConvTasNet_Libri3Mix_sepnoisy_8k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ec02d312de1fb389fb0c2a2073b1c26392301fcf85758361b52f248be883d67
- Size of remote file:
- 20.6 MB
- SHA256:
- 8c0fcaf6d7d153467bafe4471b55db5e12d4a41083ee5cd1a59727a4c39ee7e2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.