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prithivMLmods
/
SigLIP2-ImageShield-90M-224

Image Classification
Transformers
Safetensors
English
siglip
ImageShield
SigLIP2
90M
Guardrail
Model card Files Files and versions
xet
Community

Instructions to use prithivMLmods/SigLIP2-ImageShield-90M-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prithivMLmods/SigLIP2-ImageShield-90M-224 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="prithivMLmods/SigLIP2-ImageShield-90M-224")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageClassification
    
    processor = AutoProcessor.from_pretrained("prithivMLmods/SigLIP2-ImageShield-90M-224")
    model = AutoModelForImageClassification.from_pretrained("prithivMLmods/SigLIP2-ImageShield-90M-224", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • config.json
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  • model.safetensors
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  • optimizer.pt
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  • preprocessor_config.json
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  • training_args.bin
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