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audgns
/
ViT_beans

Image Classification
Transformers
TensorBoard
Safetensors
vit
LMH
3_class
ViT
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use audgns/ViT_beans with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="audgns/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("audgns/ViT_beans")
    model = AutoModelForImageClassification.from_pretrained("audgns/ViT_beans")
  • Notebooks
  • Google Colab
  • Kaggle
ViT_beans
343 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
audgns's picture
audgns
audgns
b3a5972 verified over 1 year ago
  • runs
    audgns over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.42 kB
    audgns over 1 year ago
  • config.json
    797 Bytes
    audgns over 1 year ago
  • model.safetensors
    343 MB
    xet
    audgns over 1 year ago
  • preprocessor_config.json
    327 Bytes
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  • training_args.bin
    5.18 kB
    xet
    audgns over 1 year ago