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ThongCoder
/
microsoft-resnet50-cifar100

Image Classification
Transformers
TensorBoard
Safetensors
resnet
Trained with AutoTrain
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ThongCoder/microsoft-resnet50-cifar100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ThongCoder/microsoft-resnet50-cifar100 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ThongCoder/microsoft-resnet50-cifar100")
    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("ThongCoder/microsoft-resnet50-cifar100")
    model = AutoModelForImageClassification.from_pretrained("ThongCoder/microsoft-resnet50-cifar100")
  • Notebooks
  • Google Colab
  • Kaggle
microsoft-resnet50-cifar100 / runs
62 kB
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  • 1 contributor
History: 2 commits
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ThongCoder
Upload folder using huggingface_hub
2152262 verified 9 months ago
  • Aug27_01-07-28_27289401d1e0
    Upload folder using huggingface_hub 9 months ago