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drab
/
Infrastructures

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

  • Libraries
  • Transformers

    How to use drab/Infrastructures with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="drab/Infrastructures")
    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("drab/Infrastructures")
    model = AutoModelForImageClassification.from_pretrained("drab/Infrastructures")
  • Notebooks
  • Google Colab
  • Kaggle
Infrastructures / images
67.4 kB
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  • 1 contributor
History: 1 commit
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drab
commit files to HF hub
ad7a7c7 over 4 years ago
  • Cooling_tower.jpg
    15.8 kB
    commit files to HF hub over 4 years ago
  • Transmission_grid.jpg
    28.8 kB
    commit files to HF hub over 4 years ago
  • Wind_turbines.jpg
    22.8 kB
    commit files to HF hub over 4 years ago