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OttoYu
/
LeafCondition

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

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

  • Libraries
  • Transformers

    How to use OttoYu/LeafCondition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="OttoYu/LeafCondition")
    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("OttoYu/LeafCondition")
    model = AutoModelForImageClassification.from_pretrained("OttoYu/LeafCondition")
  • Notebooks
  • Google Colab
  • Kaggle
LeafCondition
347 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
OttoYu's picture
OttoYu
Update README.md
77ff502 about 3 years ago
  • .gitattributes
    1.62 kB
    Commit From AutoTrain about 3 years ago
  • README.md
    719 Bytes
    Update README.md about 3 years ago
  • config.json
    1.39 kB
    Commit From AutoTrain about 3 years ago
  • preprocessor_config.json
    492 Bytes
    Commit From AutoTrain about 3 years ago
  • pytorch_model.bin
    347 MB
    xet
    Commit From AutoTrain about 3 years ago