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embunna
/
resnet-18-please-work

Image Classification
Transformers
TensorBoard
Safetensors
resnet
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use embunna/resnet-18-please-work with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use embunna/resnet-18-please-work with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="embunna/resnet-18-please-work")
    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("embunna/resnet-18-please-work")
    model = AutoModelForImageClassification.from_pretrained("embunna/resnet-18-please-work", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
resnet-18-please-work / runs
20.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
embunna's picture
embunna
End of training
15d1d40 verified about 2 years ago
  • Jun06_04-24-27_46a18104521a
    Training in progress, epoch 0 about 2 years ago
  • Jun06_04-30-22_46a18104521a
    Training in progress, epoch 0 about 2 years ago
  • Jun06_04-32-49_46a18104521a
    End of training about 2 years ago