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Hayloo9838
/
siglip2-vision-only

Image Feature Extraction
Transformers
PyTorch
English
siglip_vision_model
vision
siglip
siglip2
Model card Files Files and versions
xet
Community
1

Instructions to use Hayloo9838/siglip2-vision-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hayloo9838/siglip2-vision-only with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="Hayloo9838/siglip2-vision-only")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Hayloo9838/siglip2-vision-only", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
siglip2-vision-only
410 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
Hayloo9838's picture
Hayloo9838
Delete google89813dc43ec295e1.html
b40dce9 verified 7 months ago
  • .gitattributes
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  • README.md
    459 Bytes
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  • chat_template.jinja
    591 Bytes
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  • config.json
    1.85 kB
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  • preprocessor_config.json
    394 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?

    372 MB
    xet
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  • special_tokens_map.json
    636 Bytes
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  • tokenizer.json
    34.4 MB
    xet
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  • tokenizer.model
    4.24 MB
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  • tokenizer_config.json
    46.6 kB
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