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smc
/
electric

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

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

  • Libraries
  • Transformers

    How to use smc/electric with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="smc/electric")
    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")
    model = AutoModelForImageClassification.from_pretrained("smc/electric")
  • Notebooks
  • Google Colab
  • Kaggle
electric
343 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
smc's picture
smc
commit files to HF hub
571c81e almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    640 Bytes
    commit files to HF hub almost 4 years ago
  • config.json
    741 Bytes
    commit files to HF hub almost 4 years ago
  • preprocessor_config.json
    228 Bytes
    commit files to HF hub almost 4 years ago
  • pytorch_model.bin
    343 MB
    xet
    commit files to HF hub almost 4 years ago