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codesoda
/
gliner2-onnx

Text Classification
GLiNER2
ONNX
Rust
named-entity-recognition
Model card Files Files and versions
xet
Community

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

  • Libraries
  • GLiNER2

    How to use codesoda/gliner2-onnx with GLiNER2:

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("codesoda/gliner2-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-onnx
5.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
codesoda's picture
codesoda
Publish validated GLiNER2.5 fp32 boundary bundles
27310cd verified 12 days ago
  • gliner2-base-v1
    Add ONNX exports: gliner2-base-v1 and gliner2-large-v1 15 days ago
  • gliner2-large-v1
    Add ONNX exports: gliner2-base-v1 and gliner2-large-v1 15 days ago
  • gliner2.5-base-v1
    Publish validated GLiNER2.5 fp32 boundary bundles 12 days ago
  • gliner2.5-multi-v1
    Publish validated GLiNER2.5 fp32 boundary bundles 12 days ago
  • gliner2.5-small-v1
    Publish validated GLiNER2.5 fp32 boundary bundles 12 days ago
  • .gitattributes
    1.59 kB
    Publish validated GLiNER2.5 fp32 boundary bundles 12 days ago
  • README.md
    3.75 kB
    Publish validated GLiNER2.5 fp32 boundary bundles 12 days ago