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Shamik
/
whisper-base.en-finetuned-gtzan

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

Instructions to use Shamik/whisper-base.en-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shamik/whisper-base.en-finetuned-gtzan with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Shamik/whisper-base.en-finetuned-gtzan")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Shamik/whisper-base.en-finetuned-gtzan")
    model = AutoModelForAudioClassification.from_pretrained("Shamik/whisper-base.en-finetuned-gtzan")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base.en-finetuned-gtzan / runs /Nov29_07-18-11_b6274ca41402
27.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Shamik's picture
Shamik
End of training
fad94fe over 2 years ago
  • events.out.tfevents.1701242297.b6274ca41402.621.0
    27.3 kB
    xet
    End of training over 2 years ago
  • events.out.tfevents.1701243942.b6274ca41402.621.1
    411 Bytes
    xet
    End of training over 2 years ago