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LeaMac
/
final_model

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

  • Libraries
  • Transformers

    How to use LeaMac/final_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="LeaMac/final_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("LeaMac/final_model")
    model = AutoModelForAudioClassification.from_pretrained("LeaMac/final_model")
  • Notebooks
  • Google Colab
  • Kaggle
final_model / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
LeaMac's picture
LeaMac
End of training
5cb14c0 verified about 1 year ago
  • Mar04_17-04-02_6ef7b8fbbef4
    End of training about 1 year ago