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yethdev
/
gliner2-pii-onnx

Token Classification
GLiNER2
ONNX
GLiNER
pii
ner
privacy
redaction
information-extraction
span-extraction
Model card Files Files and versions
xet
Community

Instructions to use yethdev/gliner2-pii-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use yethdev/gliner2-pii-onnx with GLiNER2:

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("yethdev/gliner2-pii-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)
  • GLiNER

    How to use yethdev/gliner2-pii-onnx with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("yethdev/gliner2-pii-onnx")
  • Notebooks
  • Google Colab
  • Kaggle
gliner2-pii-onnx
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
yethdev's picture
yethdev
Add SPY benchmark results to model card
7d82c70 14 days ago
  • .gitattributes
    1.57 kB
    Verified ONNX release v1.0.0 15 days ago
  • README.md
    1.55 kB
    Add SPY benchmark results to model card 14 days ago
  • export_info.json
    1.06 kB
    Verified ONNX release v1.0.0 15 days ago
  • model.quantized.onnx
    446 MB
    xet
    Verified ONNX release v1.0.0 15 days ago
  • tokenizer.json
    16 MB
    xet
    Verified ONNX release v1.0.0 15 days ago
  • tokenizer_config.json
    711 Bytes
    Verified ONNX release v1.0.0 15 days ago