Instructions to use julien-c/DPRNNTasNet-ks16_WHAM_sepclean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use julien-c/DPRNNTasNet-ks16_WHAM_sepclean with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("julien-c/DPRNNTasNet-ks16_WHAM_sepclean") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from julien-c/DPRNNTasNet-ks16_WHAM_sepclean: direct link, hf CLI and curl.
- Browser
- Download file 14.7 MB
-
https://huggingface.co/julien-c/DPRNNTasNet-ks16_WHAM_sepclean/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://julien-c/DPRNNTasNet-ks16_WHAM_sepclean/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/julien-c/DPRNNTasNet-ks16_WHAM_sepclean/resolve/main/pytorch_model.bin
14.7 MB
- Xet hash:
- dfdb5bb6daae517f77e97d87e2f4e9583e628f08f9f5dee08987616f676f6aa3
- Size of remote file:
- 14.7 MB
- SHA256:
- aca83e3a61eb6414f78e87350631cfcd77e04737c2c9bf7844dcde6ac0c576d8
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