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prj-beatrice
/
utmos22-torch-native

Audio Classification
Transformers
Safetensors
utmos22
audio
speech-quality
utmos
custom_code
Model card Files Files and versions
xet
Community

Instructions to use prj-beatrice/utmos22-torch-native with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prj-beatrice/utmos22-torch-native with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="prj-beatrice/utmos22-torch-native", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("prj-beatrice/utmos22-torch-native", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
utmos22-torch-native
407 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Project Beatrice
Keep differentiable LSTM on cuDNN
eecd3e6 7 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • LICENSE
    1.3 kB
    Add UTMOS22 torch-native model 9 days ago
  • README.md
    1.25 kB
    Add UTMOS22 torch-native model 9 days ago
  • config.json
    128 Bytes
    Add UTMOS22 torch-native model 9 days ago
  • model.safetensors
    407 MB
    xet
    Add UTMOS22 torch-native model 9 days ago
  • modeling_utmos22.py
    7.32 kB
    Keep differentiable LSTM on cuDNN 7 days ago
  • modeling_wav2vec2.py
    8.57 kB
    Add UTMOS22 torch-native model 9 days ago