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YKXBCi
/
resnet-50-ucSat

Image Classification
Transformers
google-tensorflow TensorFlow
TensorBoard
vit
generated_from_keras_callback
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use YKXBCi/resnet-50-ucSat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use YKXBCi/resnet-50-ucSat with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="YKXBCi/resnet-50-ucSat")
    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("YKXBCi/resnet-50-ucSat")
    model = AutoModelForImageClassification.from_pretrained("YKXBCi/resnet-50-ucSat", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
resnet-50-ucSat / logs
2.9 MB
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  • 1 contributor
History: 5 commits
YKXBCi's picture
YKXBCi
Training in progress epoch 4
3bc1ae4 about 4 years ago
  • train
    Training in progress epoch 4 about 4 years ago
  • validation
    Training in progress epoch 4 about 4 years ago