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randomstate42
/
vit_model

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use randomstate42/vit_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use randomstate42/vit_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="randomstate42/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("randomstate42/vit_model")
    model = AutoModelForImageClassification.from_pretrained("randomstate42/vit_model")
  • Notebooks
  • Google Colab
  • Kaggle
vit_model
344 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
savioratharv's picture
savioratharv
End of training
555c3ef over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.36 kB
    End of training over 2 years ago
  • config.json
    6.47 kB
    Training in progress, epoch 0 over 2 years ago
  • preprocessor_config.json
    325 Bytes
    Training in progress, epoch 0 over 2 years ago
  • pytorch_model.bin
    344 MB
    xet
    Training in progress, epoch 9 over 2 years ago
  • training_args.bin
    4.03 kB
    xet
    Training in progress, epoch 0 over 2 years ago