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Garkpit
/
test_one

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

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

  • Libraries
  • Transformers

    How to use Garkpit/test_one with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Garkpit/test_one")
    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("Garkpit/test_one")
    model = AutoModelForImageClassification.from_pretrained("Garkpit/test_one")
  • Notebooks
  • Google Colab
  • Kaggle
test_one / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Garkpit's picture
Garkpit
commit files to HF hub
24c8f5e almost 3 years ago
  • events.out.tfevents.1689936610.76370835c15d.524.0
    1.49 kB
    xet
    commit files to HF hub almost 3 years ago