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yuean
/
my_resnet50_model

Image Classification
Transformers
PyTorch
resnet
Model card Files Files and versions
xet
Community
2

Instructions to use yuean/my_resnet50_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yuean/my_resnet50_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="yuean/my_resnet50_model")
    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("yuean/my_resnet50_model")
    model = AutoModelForImageClassification.from_pretrained("yuean/my_resnet50_model")
  • Notebooks
  • Google Colab
  • Kaggle
my_resnet50_model
283 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
yuean's picture
yuean
Update README.md
384c499 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    93 Bytes
    Update README.md almost 3 years ago
  • config.json
    1.14 kB
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  • optimizer.pt
    188 MB
    xet
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  • preprocessor_config.json
    352 Bytes
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  • pytorch_model.bin
    94.4 MB
    xet
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  • rng_state.pth
    13.6 kB
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  • scheduler.pt
    627 Bytes
    xet
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  • trainer_state.json
    13.3 kB
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  • training_args.bin
    4.03 kB
    xet
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