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02shanky
/
test_model_graphics_classification_LION

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_LION with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 02shanky/test_model_graphics_classification_LION with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="02shanky/test_model_graphics_classification_LION")
    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_LION")
    model = AutoModelForImageClassification.from_pretrained("02shanky/test_model_graphics_classification_LION")
  • Notebooks
  • Google Colab
  • Kaggle
test_model_graphics_classification_LION / runs
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  • 1 contributor
History: 2 commits
02shanky's picture
02shanky
Fully Trained Model with LION optimizer
975628b almost 3 years ago
  • Jul12_08-51-00_cf3a6ec8eae5
    Fully Trained Model with LION optimizer almost 3 years ago