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Waleed-bin-Qamar
/
ConvNext-For-Covid-Classification-30EP-BS64

Image Classification
Transformers
PyTorch
convnext
Model card Files Files and versions
xet
Community
1

Instructions to use Waleed-bin-Qamar/ConvNext-For-Covid-Classification-30EP-BS64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Waleed-bin-Qamar/ConvNext-For-Covid-Classification-30EP-BS64 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Waleed-bin-Qamar/ConvNext-For-Covid-Classification-30EP-BS64")
    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("Waleed-bin-Qamar/ConvNext-For-Covid-Classification-30EP-BS64")
    model = AutoModelForImageClassification.from_pretrained("Waleed-bin-Qamar/ConvNext-For-Covid-Classification-30EP-BS64")
  • Notebooks
  • Google Colab
  • Kaggle
ConvNext-For-Covid-Classification-30EP-BS64
111 MB
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  • 1 contributor
History: 5 commits
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    111 MB
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