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muqtadar
/
analysis

Image Classification
Transformers
PyTorch
Safetensors
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use muqtadar/analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use muqtadar/analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="muqtadar/analysis")
    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("muqtadar/analysis")
    model = AutoModelForImageClassification.from_pretrained("muqtadar/analysis")
  • Notebooks
  • Google Colab
  • Kaggle
analysis
687 MB
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  • 1 contributor
History: 2 commits
muqtadar's picture
muqtadar
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3254ebf over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
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  • config.json
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  • model.safetensors
    343 MB
    xet
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  • preprocessor_config.json
    327 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    343 MB
    xet
    Upload 5 files over 2 years ago