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Sena
/
dog

Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use Sena/dog with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Sena/dog")
    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("Sena/dog")
    model = AutoModelForImageClassification.from_pretrained("Sena/dog")
  • Notebooks
  • Google Colab
  • Kaggle
dog
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Sena's picture
Sena
commit files to HF hub
489790d almost 5 years ago
  • images
    commit files to HF hub almost 5 years ago
  • runs
    commit files to HF hub almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    751 Bytes
    commit files to HF hub almost 5 years ago
  • config.json
    641 Bytes
    commit files to HF hub almost 5 years ago
  • preprocessor_config.json
    228 Bytes
    commit files to HF hub almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    343 MB
    xet
    commit files to HF hub almost 5 years ago