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hivetrace
/
gliner-guard-uniencoder-onnx

ONNX
GLiNER
GLiNER2
gliner2-onnx
ner
named-entity-recognition
zero-shot
classification
Model card Files Files and versions
xet
Community

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

  • Libraries
  • GLiNER

    How to use hivetrace/gliner-guard-uniencoder-onnx with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("hivetrace/gliner-guard-uniencoder-onnx")
  • GLiNER2

    How to use hivetrace/gliner-guard-uniencoder-onnx with GLiNER2:

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("hivetrace/gliner-guard-uniencoder-onnx")
    
    # 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-uniencoder-onnx
1.06 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
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bogdanminko
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  • onnx
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  • .gitattributes
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  • README.md
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  • config.json
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  • gliner2_config.json
    900 Bytes
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  • tokenizer.json
    34.4 MB
    xet
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  • tokenizer_config.json
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