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cvmil
/
vit-base-patch16-224_augmented-v2_tl

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

Instructions to use cvmil/vit-base-patch16-224_augmented-v2_tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cvmil/vit-base-patch16-224_augmented-v2_tl with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="cvmil/vit-base-patch16-224_augmented-v2_tl")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("cvmil/vit-base-patch16-224_augmented-v2_tl")
    model = AutoModelForImageClassification.from_pretrained("cvmil/vit-base-patch16-224_augmented-v2_tl", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-patch16-224_augmented-v2_tl
343 MB
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  • 1 contributor
History: 46 commits
SodaXII's picture
SodaXII
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8ecc224 verified over 1 year ago
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  • .gitattributes
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  • README.md
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  • all_results.json
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  • config.json
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  • model.safetensors
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  • preprocessor_config.json
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  • train_results.json
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  • trainer_state.json
    9.08 kB
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  • training_args.bin
    5.5 kB
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