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OttoYu
/
Tree-Condition

Image Classification
Transformers
PyTorch
swin
vision
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use OttoYu/Tree-Condition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="OttoYu/Tree-Condition")
    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/Tree-Condition")
    model = AutoModelForImageClassification.from_pretrained("OttoYu/Tree-Condition")
  • Notebooks
  • Google Colab
  • Kaggle
Tree-Condition
348 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
OttoYu's picture
OttoYu
Update README.md
be6db55 about 3 years ago
  • .gitattributes
    1.62 kB
    Commit From AutoTrain about 3 years ago
  • README.md
    1.6 kB
    Update README.md about 3 years ago
  • config.json
    3.17 kB
    Commit From AutoTrain about 3 years ago
  • preprocessor_config.json
    388 Bytes
    Commit From AutoTrain about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    348 MB
    xet
    Commit From AutoTrain about 3 years ago