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juniorjukeko
/
img_class_beans

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use juniorjukeko/img_class_beans with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="juniorjukeko/img_class_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("juniorjukeko/img_class_beans")
    model = AutoModelForImageClassification.from_pretrained("juniorjukeko/img_class_beans")
  • Notebooks
  • Google Colab
  • Kaggle
img_class_beans
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 27 commits
librarian-bot's picture
librarian-bot
Librarian Bot: Update Hugging Face dataset ID
b972e23 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.34 kB
    Librarian Bot: Update Hugging Face dataset ID about 2 years ago
  • config.json
    794 Bytes
    Training in progress, epoch 0 over 2 years ago
  • preprocessor_config.json
    325 Bytes
    Training in progress, epoch 1 over 2 years ago
  • pytorch_model.bin
    343 MB
    xet
    juniorjukeko/img_class_beans over 2 years ago
  • training_args.bin
    4.03 kB
    xet
    Training in progress, epoch 0 over 2 years ago