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frncscp
/
pataconxt

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

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

  • Libraries
  • Transformers

    How to use frncscp/pataconxt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="frncscp/pataconxt")
    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("frncscp/pataconxt")
    model = AutoModelForImageClassification.from_pretrained("frncscp/pataconxt")
  • Notebooks
  • Google Colab
  • Kaggle
pataconxt
785 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
frncscp's picture
frncscp
Update README.md
c47b2d5 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.64 kB
    Update README.md almost 3 years ago
  • config.json
    837 Bytes
    End of training about 3 years ago
  • preprocessor_config.json
    352 Bytes
    End of training about 3 years ago
  • tf_model.h5
    785 MB
    xet
    End of training about 3 years ago