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Qdrant
/
clip-ViT-B-32-text

Sentence Similarity
Transformers
ONNX
clip_text_model
Model card Files Files and versions
xet
Community
1

Instructions to use Qdrant/clip-ViT-B-32-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Qdrant/clip-ViT-B-32-text with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Qdrant/clip-ViT-B-32-text", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
clip-ViT-B-32-text
258 MB
Ctrl+K
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  • 3 contributors
History: 10 commits
jmzzomg's picture
jmzzomg
Update README.md
48ca1db verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    735 Bytes
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  • config.json
    536 Bytes
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  • merges.txt
    525 kB
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  • model.onnx
    254 MB
    xet
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  • special_tokens_map.json
    588 Bytes
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  • tokenizer.json
    2.22 MB
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  • tokenizer_config.json
    705 Bytes
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  • vocab.json
    862 kB
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