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johnnydevriese
/
vit_beans

Image Classification
Transformers
PyTorch
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
4

Instructions to use johnnydevriese/vit_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use johnnydevriese/vit_beans with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="johnnydevriese/vit_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("johnnydevriese/vit_beans")
    model = AutoModelForImageClassification.from_pretrained("johnnydevriese/vit_beans")
  • Notebooks
  • Google Colab
  • Kaggle
vit_beans
687 MB
Ctrl+K
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  • 3 contributors
History: 5 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
f4fb6b1 verified over 1 year ago
  • .gitattributes
    1.27 kB
    Adding `safetensors` variant of this model over 1 year ago
  • .gitignore
    13 Bytes
    my-vit-model about 4 years ago
  • README.md
    1.41 kB
    Librarian Bot: Update Hugging Face dataset ID (#3) almost 2 years ago
  • all_results.json
    349 Bytes
    my-vit-model about 4 years ago
  • config.json
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    my-vit-model about 4 years ago
  • eval_results.json
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    my-vit-model about 4 years ago
  • model.safetensors
    343 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    228 Bytes
    my-vit-model about 4 years ago
  • pytorch_model.bin
    343 MB
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    my-vit-model about 4 years ago
  • train_results.json
    166 Bytes
    my-vit-model about 4 years ago
  • trainer_state.json
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  • training_args.bin
    2.93 kB
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    my-vit-model about 4 years ago