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p1atdev
/
style_250412.vit_base_patch16_siglip_384.v2_webli

Image Feature Extraction
timm
Safetensors
Transformers
timm_wrapper
Model card Files Files and versions
xet
Community

Instructions to use p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli with timm:

    import timm
    
    model = timm.create_model("hf_hub:p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli", pretrained=True)
  • Transformers

    How to use p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli")
    model = AutoModel.from_pretrained("p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli")
  • Notebooks
  • Google Colab
  • Kaggle
style_250412.vit_base_patch16_siglip_384.v2_webli
373 MB
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  • 1 contributor
History: 4 commits
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p1atdev
Update README.md
94c74ee verified about 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
    373 MB
    xet
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