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Soulaimen
/
resnet-50-bottomCleanedData

Image Classification
Transformers
PyTorch
TensorBoard
resnet
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use Soulaimen/resnet-50-bottomCleanedData with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Soulaimen/resnet-50-bottomCleanedData")
    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("Soulaimen/resnet-50-bottomCleanedData")
    model = AutoModelForImageClassification.from_pretrained("Soulaimen/resnet-50-bottomCleanedData")
  • Notebooks
  • Google Colab
  • Kaggle
resnet-50-bottomCleanedData / runs
174 kB
Ctrl+K
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  • 1 contributor
History: 64 commits
Soulaimen's picture
Soulaimen
End of training
83b0244 about 3 years ago
  • May06_17-13-04_cfa7f4cd76a3
    End of training about 3 years ago
  • May06_20-15-33_cfa7f4cd76a3
    End of training about 3 years ago