Instructions to use Awais/Audio_Source_Separation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use Awais/Audio_Source_Separation with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("Awais/Audio_Source_Separation") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Awais/Audio_Source_Separation: direct link, hf CLI and curl.
- Browser
- Download file 113 Bytes
-
https://huggingface.co/Awais/Audio_Source_Separation/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Awais/Audio_Source_Separation@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Awais/Audio_Source_Separation/resolve/refs%2Fpr%2F1/pytorch_model.bin
113 Bytes
- Xet hash:
- bf897c71c986ca2ce06087aad7b3c99e6002ef852fa5e0bd6f3ba4c31f1044c0
- Size of remote file:
- 113 Bytes
- SHA256:
- a7c0074a2c0e35eba010bc32f3fe70bc79c0887d6c553d7981daed32b2fca8d6
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