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adiZu
/
river-decider

GLiNER2
ONNX
decision-model
on-device
Model card Files Files and versions
xet
Community

Instructions to use adiZu/river-decider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use adiZu/river-decider with GLiNER2:

    from gliner2 import AutoExtractor
    
    extractor = AutoExtractor.from_pretrained("adiZu/river-decider")
    
    # 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
river-decider
364 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
adiZu's picture
adiZu
Mobile encoder (int8 embeddings, fp16 weights), 364 MB
4cc46cf verified 25 days ago
  • .gitattributes
    1.52 kB
    initial commit 25 days ago
  • README.md
    926 Bytes
    Model card: quantized export of fastino/GLiNER2.5-multi-Decide (Apache-2.0) 25 days ago
  • encoder.onnx
    364 MB
    xet
    Mobile encoder (int8 embeddings, fp16 weights), 364 MB 25 days ago