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mikerol
/
beta3-ViT

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

Instructions to use mikerol/beta3-ViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mikerol/beta3-ViT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="mikerol/beta3-ViT")
    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("mikerol/beta3-ViT")
    model = AutoModelForImageClassification.from_pretrained("mikerol/beta3-ViT")
  • Notebooks
  • Google Colab
  • Kaggle
beta3-ViT
344 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
mikerol's picture
mikerol
End of training
feccf12 verified 5 months ago
  • runs
    Training in progress, epoch 3 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    1.72 kB
    End of training 5 months ago
  • config.json
    5.62 kB
    Training in progress, epoch 1 5 months ago
  • model.safetensors
    344 MB
    xet
    Training in progress, epoch 3 5 months ago
  • preprocessor_config.json
    351 Bytes
    Training in progress, epoch 1 5 months ago
  • training_args.bin
    5.84 kB
    xet
    Training in progress, epoch 1 5 months ago