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DatologyAI
/
cls-opt-vit-b-32

Zero-Shot Image Classification
OpenCLIP
Safetensors
datology
clip
vision
OpenCLIP
datacomp
zero-shot-classification
Model card Files Files and versions
xet
Community

Instructions to use DatologyAI/cls-opt-vit-b-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • OpenCLIP

    How to use DatologyAI/cls-opt-vit-b-32 with OpenCLIP:

    import open_clip
    
    model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:DatologyAI/cls-opt-vit-b-32')
    tokenizer = open_clip.get_tokenizer('hf-hub:DatologyAI/cls-opt-vit-b-32')
  • Notebooks
  • Google Colab
  • Kaggle
cls-opt-vit-b-32
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  • 3 contributors
History: 8 commits
rads101's picture
rads101
Update README.md
b41ea7a verified 11 months ago
  • .gitattributes
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    initial commit 11 months ago
  • README.md
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  • merges.txt
    525 kB
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  • open_clip_config.json
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  • open_clip_model.safetensors
    605 MB
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  • open_clip_pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    605 MB
    xet
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  • special_tokens_map.json
    588 Bytes
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  • tokenizer.json
    3.64 MB
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  • tokenizer_config.json
    736 Bytes
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  • vocab.json
    862 kB
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