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nicolasembleton
/
gliner2.5-multi-v1-onnx

Token Classification
ONNX
GLiNER2
gliner2.5
boundary
webgpu
text-classification
relation-extraction
Model card Files Files and versions
xet
Community

Instructions to use nicolasembleton/gliner2.5-multi-v1-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use nicolasembleton/gliner2.5-multi-v1-onnx with GLiNER2:

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("nicolasembleton/gliner2.5-multi-v1-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
gliner2.5-multi-v1-onnx
1.13 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
nicolasembleton's picture
nicolasembleton
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  • onnx
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  • .gitattributes
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  • README.md
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  • export_config.json
    466 Bytes
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  • special_tokens_map.json
    2.42 kB
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  • tokenizer.json
    16 MB
    xet
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  • tokenizer_config.json
    21.7 kB
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