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pratap18
/
audio_classification_model

Audio Classification
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use pratap18/audio_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pratap18/audio_classification_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="pratap18/audio_classification_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("pratap18/audio_classification_model")
    model = AutoModelForAudioClassification.from_pretrained("pratap18/audio_classification_model")
  • Notebooks
  • Google Colab
  • Kaggle
audio_classification_model / runs
25.6 kB
Ctrl+K
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  • 2 contributors
History: 12 commits
pratap18's picture
pratap18
End of training
0021435 almost 3 years ago
  • Jul27_17-37-39_06d96c3b709d
    Training in progress, epoch 0 almost 3 years ago
  • Jul27_17-41-02_06d96c3b709d
    Training in progress, epoch 0 almost 3 years ago
  • Jul27_17-42-33_06d96c3b709d
    End of training almost 3 years ago