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zho
/
vit-base-beans

Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use zho/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zho/vit-base-beans with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="zho/vit-base-beans")
    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("zho/vit-base-beans")
    model = AutoModelForImageClassification.from_pretrained("zho/vit-base-beans")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-beans / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
steven
Model save
26368d6 about 3 years ago
  • May04_21-43-46_idea-Precision-5820-Tower
    End of training about 3 years ago
  • May05_10-30-24_idea-Precision-5820-Tower
    End of training about 3 years ago
  • May06_09-21-21_idea-Precision-5820-Tower
    End of training about 3 years ago
  • May06_16-12-46_idea-Precision-5820-Tower
    Model save about 3 years ago