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hivetrace
/
gliner-guard-biencoder

Zero-Shot Classification
GLiNER2
Safetensors
English
Russian
extractor
safety
pii
ai-security
zero-shot
text-classification
span-categorization
token-classification
guardrails
Model card Files Files and versions
xet
Community

Instructions to use hivetrace/gliner-guard-biencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use hivetrace/gliner-guard-biencoder with GLiNER2:

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("hivetrace/gliner-guard-biencoder")
    
    # Extract entities
    text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday."
    result = extractor.extract_entities(text, ["company", "person", "product", "location"])
    
    print(result)
  • Notebooks
  • Google Colab
  • Kaggle
gliner-guard-biencoder
612 MB
Ctrl+K
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  • 1 contributor
History: 15 commits
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bogdanminko
Update README.md
99c41be verified 4 days ago
  • encoder_config
    final: best checkpoint 2 months ago
  • .gitattributes
    1.62 kB
    Upload biencoder.png about 2 months ago
  • README.md
    8.71 kB
    Update README.md 4 days ago
  • biencoder.png
    135 kB
    xet
    Upload biencoder.png about 2 months ago
  • config.json
    377 Bytes
    final: best checkpoint 2 months ago
  • model.safetensors
    578 MB
    xet
    final: best checkpoint 2 months ago
  • tokenizer.json
    34.4 MB
    xet
    final: best checkpoint 2 months ago
  • tokenizer_config.json
    648 Bytes
    final: best checkpoint 2 months ago