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jays009
/
Restnet50

Image Classification
Transformers
PyTorch
resnet
agriculture
anomaly-detection
Model card Files Files and versions
xet
Community
1

Instructions to use jays009/Restnet50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jays009/Restnet50 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="jays009/Restnet50")
    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/Restnet50", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Restnet50
189 MB
Ctrl+K
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  • 1 contributor
History: 24 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
e5b98ea verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.38 kB
    Update README.md over 1 year ago
  • config.json
    404 Bytes
    Update config.json over 1 year ago
  • model.safetensors
    94.3 MB
    xet
    Adding `safetensors` variant of this model 12 months ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    94.4 MB
    xet
    Upload folder using huggingface_hub over 1 year ago