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clp
/
vit-base-patch16-224-finetuned

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

Instructions to use clp/vit-base-patch16-224-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use clp/vit-base-patch16-224-finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="clp/vit-base-patch16-224-finetuned")
    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("clp/vit-base-patch16-224-finetuned")
    model = AutoModelForImageClassification.from_pretrained("clp/vit-base-patch16-224-finetuned")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-patch16-224-finetuned / runs
10.6 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
clp's picture
clp
Model save
9bcbb64 over 3 years ago
  • Nov28_11-16-18_a7026d128e5a
    Model save over 3 years ago