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adventureshin
/
Bingsu-concept

Feature Extraction
Transformers
PyTorch
Safetensors
Korean
vision-text-dual-encoder
clip
Model card Files Files and versions
xet
Community

Instructions to use adventureshin/Bingsu-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use adventureshin/Bingsu-concept with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="adventureshin/Bingsu-concept")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("adventureshin/Bingsu-concept")
    model = AutoModel.from_pretrained("adventureshin/Bingsu-concept")
  • Notebooks
  • Google Colab
  • Kaggle
Bingsu-concept
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  • 1 contributor
History: 4 commits
adventureshin's picture
adventureshin
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  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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