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oneryalcin
/
gliner2-relation-verifier

Text Classification
GLiNER2
GLiNER
English
relation_verifier
relation-extraction
ner
information-extraction
Model card Files Files and versions
xet
Community

Instructions to use oneryalcin/gliner2-relation-verifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use oneryalcin/gliner2-relation-verifier with GLiNER2:

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("oneryalcin/gliner2-relation-verifier")
    
    # 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 oneryalcin/gliner2-relation-verifier with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("oneryalcin/gliner2-relation-verifier")
  • Notebooks
  • Google Colab
  • Kaggle
gliner2-relation-verifier
10.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
oneryalcin's picture
oneryalcin
Upload config.json with huggingface_hub
1e4e22c verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    2.88 kB
    Upload README.md with huggingface_hub 5 months ago
  • config.json
    284 Bytes
    Upload config.json with huggingface_hub 5 months ago
  • verifier.pt

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    10.7 MB
    xet
    Upload folder using huggingface_hub 5 months ago