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saadashraf
/
ast_bird_model2

Audio Classification
Transformers
PyTorch
TensorBoard
audio-spectrogram-transformer
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use saadashraf/ast_bird_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use saadashraf/ast_bird_model2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="saadashraf/ast_bird_model2")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoFeatureExtractor, AutoModelForAudioClassification
    
    extractor = AutoFeatureExtractor.from_pretrained("saadashraf/ast_bird_model2")
    model = AutoModelForAudioClassification.from_pretrained("saadashraf/ast_bird_model2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ast_bird_model2
346 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
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Librarian Bot: Add base_model information to model
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  • runs
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  • .gitattributes
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  • .gitignore
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  • README.md
    1.25 kB
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  • config.json
    12.1 kB
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  • preprocessor_config.json
    297 Bytes
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  • pytorch_model.bin
    346 MB
    xet
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  • training_args.bin
    3.58 kB
    xet
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