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alexrods
/
vit_model

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

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

  • Libraries
  • Transformers

    How to use alexrods/vit_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="alexrods/vit_model")
    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("alexrods/vit_model")
    model = AutoModelForImageClassification.from_pretrained("alexrods/vit_model")
  • Notebooks
  • Google Colab
  • Kaggle
vit_model / runs
10.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
alexrods's picture
alexrods
Model save
77628b9 over 3 years ago
  • Jan24_11-08-02_c935c34c218c
    Model save over 3 years ago