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tiya1012
/
vit-accident-image

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

Instructions to use tiya1012/vit-accident-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tiya1012/vit-accident-image with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="tiya1012/vit-accident-image")
    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("tiya1012/vit-accident-image")
    model = AutoModelForImageClassification.from_pretrained("tiya1012/vit-accident-image")
  • Notebooks
  • Google Colab
  • Kaggle
vit-accident-image / runs
45.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
tiya1012's picture
tiya1012
cheers
3f5c058 about 2 years ago
  • May15_17-30-53_601c3d0c9bcd
    Training in progress, step 100 about 2 years ago
  • May15_17-36-43_601c3d0c9bcd
    Model save about 2 years ago
  • May15_17-41-07_601c3d0c9bcd
    Training in progress, step 100 about 2 years ago
  • May15_17-51-41_601c3d0c9bcd
    cheers about 2 years ago