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tdros
/
zoalearn2

Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use tdros/zoalearn2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tdros/zoalearn2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="tdros/zoalearn2")
    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("tdros/zoalearn2")
    model = AutoModelForImageClassification.from_pretrained("tdros/zoalearn2")
  • Notebooks
  • Google Colab
  • Kaggle
zoalearn2
344 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
tdros's picture
tdros
Update README.md
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  • README.md
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  • alveopora.jpg
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  • config.json
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  • preprocessor_config.json
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  • pytorch_model.bin
    343 MB
    xet
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