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prj-beatrice
/
utmosv2-torch-native

Audio Classification
Transformers
Safetensors
utmosv2
audio
speech-quality
utmos
custom_code
Model card Files Files and versions
xet
Community

Instructions to use prj-beatrice/utmosv2-torch-native with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prj-beatrice/utmosv2-torch-native with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="prj-beatrice/utmosv2-torch-native", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("prj-beatrice/utmosv2-torch-native", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
utmosv2-torch-native
834 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Project Beatrice
Add UTMOSv2 torch-native model
dc6da71 9 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • LICENSE
    12.8 kB
    Add UTMOSv2 torch-native model 9 days ago
  • README.md
    1.58 kB
    Add UTMOSv2 torch-native model 9 days ago
  • config.json
    128 Bytes
    Add UTMOSv2 torch-native model 9 days ago
  • model.safetensors
    834 MB
    xet
    Add UTMOSv2 torch-native model 9 days ago
  • modeling_efficientnet.py
    6.68 kB
    Add UTMOSv2 torch-native model 9 days ago
  • modeling_utmosv2.py
    16.5 kB
    Add UTMOSv2 torch-native model 9 days ago