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ArturoGL
/
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 ArturoGL/vit-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ArturoGL/vit-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ArturoGL/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("ArturoGL/vit-model")
    model = AutoModelForImageClassification.from_pretrained("ArturoGL/vit-model")
  • Notebooks
  • Google Colab
  • Kaggle
vit-model / runs
20.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ArturoGL's picture
ArturoGL
Model save
ee8dc5c over 2 years ago
  • Sep13_20-19-41_3348018a0b56
    Model save over 2 years ago