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autoevaluate
/
image-multi-class-classification

Image Classification
Transformers
PyTorch
TensorBoard
swin
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
5

Instructions to use autoevaluate/image-multi-class-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use autoevaluate/image-multi-class-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="autoevaluate/image-multi-class-classification")
    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("autoevaluate/image-multi-class-classification")
    model = AutoModelForImageClassification.from_pretrained("autoevaluate/image-multi-class-classification")
  • Notebooks
  • Google Colab
  • Kaggle
image-multi-class-classification / runs
45.2 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
lewtun's picture
lewtun HF Staff
End of training
4371161 almost 4 years ago
  • Jun21_08-52-13_15d408464ff9
    Training in progress, epoch 1 almost 4 years ago
  • Jun21_08-53-46_15d408464ff9
    Training in progress, epoch 1 almost 4 years ago
  • Jun21_08-55-37_15d408464ff9
    Training in progress, epoch 1 almost 4 years ago
  • Jun21_08-56-34_15d408464ff9
    End of training almost 4 years ago