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jays009
/
Resnet3

Image Classification
Transformers
PyTorch
resnet
resnet50
agriculture
anomaly-detection
wheat
plant-disease
Model card Files Files and versions
xet
Community

Instructions to use jays009/Resnet3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jays009/Resnet3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="jays009/Resnet3")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jays009/Resnet3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Resnet3
281 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 24 commits
jays009's picture
jays009
Upload model.pth with huggingface_hub
1bad716 verified over 1 year ago
  • .gitattributes
    1.52 kB
    Update .gitattributes over 1 year ago
  • README.md
    1.56 kB
    Create README.md over 1 year ago
  • config.json
    875 Bytes
    Create config.json over 1 year ago
  • model.pth
    281 MB
    xet
    Upload model.pth with huggingface_hub over 1 year ago