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smc
/
electric_2

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 smc/electric_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use smc/electric_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="smc/electric_2")
    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("smc/electric_2")
    model = AutoModelForImageClassification.from_pretrained("smc/electric_2")
  • Notebooks
  • Google Colab
  • Kaggle
electric_2
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
Sebastián Medina
Update README.md
de004ab almost 4 years ago
  • runs
    commit files to HF hub almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    354 Bytes
    Update README.md almost 4 years ago
  • config.json
    739 Bytes
    Update config.json almost 4 years ago
  • preprocessor_config.json
    228 Bytes
    commit files to HF hub almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    343 MB
    xet
    commit files to HF hub almost 4 years ago