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radned
/
ASTmodel_for_genre_clsf

Audio Classification
Transformers
PyTorch
audio-spectrogram-transformer
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use radned/ASTmodel_for_genre_clsf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="radned/ASTmodel_for_genre_clsf")
    # Load model directly
    from transformers import AutoFeatureExtractor, AutoModelForAudioClassification
    
    extractor = AutoFeatureExtractor.from_pretrained("radned/ASTmodel_for_genre_clsf")
    model = AutoModelForAudioClassification.from_pretrained("radned/ASTmodel_for_genre_clsf")
  • Notebooks
  • Google Colab
  • Kaggle
ASTmodel_for_genre_clsf
345 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
radned's picture
radned
Upload ASTForAudioClassification
0c30eed almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    1.08 kB
    Upload ASTForAudioClassification almost 3 years ago
  • preprocessor_config.json
    296 Bytes
    Upload feature extractor almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    345 MB
    xet
    Upload ASTForAudioClassification almost 3 years ago