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02shanky
/
test_model_graphics_classification

Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use 02shanky/test_model_graphics_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 02shanky/test_model_graphics_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="02shanky/test_model_graphics_classification")
    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("02shanky/test_model_graphics_classification")
    model = AutoModelForImageClassification.from_pretrained("02shanky/test_model_graphics_classification")
  • Notebooks
  • Google Colab
  • Kaggle
test_model_graphics_classification / runs
5.43 kB
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  • 1 contributor
History: 2 commits
02shanky's picture
02shanky
Fully Trained Model
1012506 almost 3 years ago
  • Jul07_05-38-57_529e2cf7f61f
    Fully Trained Model almost 3 years ago