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birgermoell
/
dysarthria_classification

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use birgermoell/dysarthria_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="birgermoell/dysarthria_classification")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("birgermoell/dysarthria_classification")
    model = AutoModelForAudioClassification.from_pretrained("birgermoell/dysarthria_classification")
  • Notebooks
  • Google Colab
  • Kaggle
dysarthria_classification / runs
10.1 kB
Ctrl+K
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  • 1 contributor
History: 10 commits
birgermoell's picture
birgermoell
End of training
283118b verified over 2 years ago
  • Jan11_06-00-57_fabc3bc3f2dd
    End of training over 2 years ago