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dima806
/
classical_composer_classification-new

Audio Classification
Transformers
PyTorch
Safetensors
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use dima806/classical_composer_classification-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dima806/classical_composer_classification-new with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="dima806/classical_composer_classification-new")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("dima806/classical_composer_classification-new")
    model = AutoModelForAudioClassification.from_pretrained("dima806/classical_composer_classification-new", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
classical_composer_classification-new
1.89 GB
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  • 2 contributors
History: 7 commits
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dima806
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  • config.json
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  • model.safetensors
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  • pytorch_model.bin
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