Instructions to use mpariente/DPRNNTasNet-ks2_WHAM_sepclean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use mpariente/DPRNNTasNet-ks2_WHAM_sepclean with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("mpariente/DPRNNTasNet-ks2_WHAM_sepclean") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e846978d99161826a54896d31f08a82eea935950db09d6b0104cc8b7aa4fc218
- Size of remote file:
- 14.7 MB
- SHA256:
- cc1f1fecf24ea3e486521029dc0e1444686bd4b6fdf9715e7757936cbd9ffdf6
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