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Hemg
/
Audiclassification

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 Hemg/Audiclassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hemg/Audiclassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Hemg/Audiclassification")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Hemg/Audiclassification")
    model = AutoModelForAudioClassification.from_pretrained("Hemg/Audiclassification")
  • Notebooks
  • Google Colab
  • Kaggle
Audiclassification / runs
22.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Hemg's picture
Hemg
Training in progress, epoch 0
26faf2a verified about 2 years ago
  • Mar26_05-31-25_85dd1abca488
    End of training about 2 years ago
  • Mar26_11-30-54_6ca48f0844d9
    Training in progress, epoch 0 about 2 years ago
  • Mar26_11-31-48_6ca48f0844d9
    Training in progress, epoch 0 about 2 years ago