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raks87
/
resnet-18-finetuned-cifar10

Image Classification
Transformers
TensorBoard
Safetensors
resnet
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use raks87/resnet-18-finetuned-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use raks87/resnet-18-finetuned-cifar10 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="raks87/resnet-18-finetuned-cifar10")
    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("raks87/resnet-18-finetuned-cifar10")
    model = AutoModelForImageClassification.from_pretrained("raks87/resnet-18-finetuned-cifar10", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
resnet-18-finetuned-cifar10 / runs
75.9 kB
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  • 1 contributor
History: 9 commits
raks87's picture
raks87
End of training
9556436 verified over 2 years ago
  • Apr07_14-09-46_9b51f9451925
    End of training over 2 years ago
  • Apr07_14-28-36_9b51f9451925
    Training in progress, epoch 0 over 2 years ago
  • Apr07_14-53-27_9b51f9451925
    End of training over 2 years ago