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tadeyina
/
BeanLeaf

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use tadeyina/BeanLeaf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="tadeyina/BeanLeaf")
    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("tadeyina/BeanLeaf")
    model = AutoModelForImageClassification.from_pretrained("tadeyina/BeanLeaf", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BeanLeaf
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
tadeyina's picture
tadeyina
Upload pytorch_model.bin
8a600aa about 4 years ago
  • .gitattributes
    1.38 kB
    initial commit about 4 years ago
  • README.md
    26 Bytes
    initial commit about 4 years ago
  • config.json
    793 Bytes
    Upload config.json about 4 years ago
  • preprocessor_config.json
    228 Bytes
    Upload preprocessor_config.json about 4 years ago
  • pytorch_model.bin
    343 MB
    xet
    Upload pytorch_model.bin about 4 years ago
  • training_args.bin
    3.38 kB
    xet
    Upload training_args.bin about 4 years ago