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LamaAldakhil
/
ScCvT_K-fold

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

Instructions to use LamaAldakhil/ScCvT_K-fold with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LamaAldakhil/ScCvT_K-fold with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="LamaAldakhil/ScCvT_K-fold")
    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("LamaAldakhil/ScCvT_K-fold")
    model = AutoModelForImageClassification.from_pretrained("LamaAldakhil/ScCvT_K-fold")
  • Notebooks
  • Google Colab
  • Kaggle

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  • runs
    End of training about 3 years ago
  • .gitattributes
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    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 about 3 years ago
  • README.md
    7.06 kB
    update model card README.md about 3 years ago
  • all_results.json
    467 Bytes
    End of training about 3 years ago
  • config.json
    1.52 kB
    Training in progress, epoch 1 about 3 years ago
  • eval_results.json
    278 Bytes
    End of training about 3 years ago
  • preprocessor_config.json
    352 Bytes
    Training in progress, epoch 1 about 3 years ago
  • pytorch_model.bin
    78.7 MB
    xet
    Model save about 3 years ago
  • train_results.json
    210 Bytes
    End of training about 3 years ago
  • trainer_state.json
    69 kB
    End of training about 3 years ago
  • training_args.bin
    3.9 kB
    xet
    Training in progress, epoch 1 about 3 years ago