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prashanth0205
/
vit_spectrogram

Image Classification
Transformers
google-tensorflow TensorFlow
vit
generated_from_keras_callback
Model card Files Files and versions
xet
Community
1

Instructions to use prashanth0205/vit_spectrogram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prashanth0205/vit_spectrogram with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="prashanth0205/vit_spectrogram")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("prashanth0205/vit_spectrogram")
    model = AutoModelForImageClassification.from_pretrained("prashanth0205/vit_spectrogram")
  • Notebooks
  • Google Colab
  • Kaggle
vit_spectrogram
343 MB
Ctrl+K
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  • 1 contributor
History: 10 commits
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Librarian Bot: Add base_model information to model
6e5a91f over 2 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    1.79 kB
    Librarian Bot: Add base_model information to model over 2 years ago
  • config.json
    650 Bytes
    add model almost 4 years ago
  • preprocessor_config.json
    228 Bytes
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  • tf_model.h5
    343 MB
    xet
    add model almost 4 years ago