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mpariente
/
ConvTasNet_WHAM_sepclean

Audio-to-Audio
Asteroid
PyTorch
audio
ConvTasNet
Model card Files Files and versions
xet
Community

Instructions to use mpariente/ConvTasNet_WHAM_sepclean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Asteroid

    How to use mpariente/ConvTasNet_WHAM_sepclean with Asteroid:

    from asteroid.models import BaseModel
    
    model = BaseModel.from_pretrained("mpariente/ConvTasNet_WHAM_sepclean")
  • Notebooks
  • Google Colab
  • Kaggle
ConvTasNet_WHAM_sepclean
20.3 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 11 commits
mishig's picture
mishig HF Staff
Upload README.md
ba1593b almost 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • README.md
    1.98 kB
    Upload README.md almost 5 years ago
  • pytorch_model.bin
    20.3 MB
    xet
    Add sample_rate: thanks git <3 over 5 years ago