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nyuuzyou
/
gliner2.5-PII-code-en

Token Classification
GLiNER2
Safetensors
English
extractor
pii
privacy
code
secret-detection
named-entity-recognition
Model card Files Files and versions
xet
Community

Instructions to use nyuuzyou/gliner2.5-PII-code-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use nyuuzyou/gliner2.5-PII-code-en with GLiNER2:

    from gliner2 import AutoExtractor
    
    extractor = AutoExtractor.from_pretrained("nyuuzyou/gliner2.5-PII-code-en")
    
    # 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-PII-code-en
783 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
nyuuzyou's picture
nyuuzyou
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  • docs
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  • encoder_config
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  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    9.89 kB
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  • config.json
    3.19 kB
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  • inference_schemas.json
    7.5 kB
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  • model.safetensors
    774 MB
    xet
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  • special_tokens_map.json
    2.42 kB
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  • tokenizer.json
    8.33 MB
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  • tokenizer_config.json
    3.48 kB
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