Instructions to use JorisCos/ConvTasNet_Libri2Mix_sepnoisy_16k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use JorisCos/ConvTasNet_Libri2Mix_sepnoisy_16k with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("JorisCos/ConvTasNet_Libri2Mix_sepnoisy_16k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b87bf572fefaa1cd5f4ab252169c67b0fa22680a104692123a31de93ca7dc3fe
- Size of remote file:
- 20.4 MB
- SHA256:
- 40b685858ba025ecd25a14ca1117f9bd5f4ed806b03158da962b7ffabdc933c0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.