Audio-to-Audio
Transformers
PyTorch
Safetensors
English
hearing loss
challenge
signal processing
source separation
lyrics intelligibility
audio
Instructions to use cadenzachallenge/ConvTasNet_Lyrics_NonCausal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cadenzachallenge/ConvTasNet_Lyrics_NonCausal with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cadenzachallenge/ConvTasNet_Lyrics_NonCausal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cadenzachallenge/ConvTasNet_Lyrics_NonCausal: direct link, hf CLI and curl.
- Browser
- Download file 43.5 MB
-
https://huggingface.co/cadenzachallenge/ConvTasNet_Lyrics_NonCausal/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cadenzachallenge/ConvTasNet_Lyrics_NonCausal/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cadenzachallenge/ConvTasNet_Lyrics_NonCausal/resolve/main/pytorch_model.bin
43.5 MB
- Xet hash:
- 19cc2573439eb335a9e7cb87552b0371da5f1741e3b851a5d3d9c67d2fee7546
- Size of remote file:
- 43.5 MB
- SHA256:
- 4592b6df0dae793d0db99fc87b05cdd954502aaa94abebb3f45204b5824fdc0e
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