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Efimov6886
/
row4_98

Image Classification
Transformers
PyTorch
Trained with AutoTrain
vision
Model card Files Files and versions
xet
Community
1

Instructions to use Efimov6886/row4_98 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Efimov6886/row4_98 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Efimov6886/row4_98")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Efimov6886/row4_98", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
row4_98
347 MB
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History: 2 commits
system's picture
system HF Staff
Commit From AutoTrain
32476f2 over 3 years ago
  • .gitattributes
    1.61 kB
    Commit From AutoTrain over 3 years ago
  • README.md
    880 Bytes
    Commit From AutoTrain over 3 years ago
  • config.json
    1.38 kB
    xet
    Commit From AutoTrain over 3 years ago
  • preprocessor_config.json
    302 Bytes
    xet
    Commit From AutoTrain over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    347 MB
    xet
    Commit From AutoTrain over 3 years ago