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smdesai
/
GLiNER25-Decide-FP16-CoreML

Text Classification
GLiNER2
Core ML
English
apple
ios
on-device
fp16
Model card Files Files and versions
xet
Community

Instructions to use smdesai/GLiNER25-Decide-FP16-CoreML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use smdesai/GLiNER25-Decide-FP16-CoreML with GLiNER2:

    from gliner2 import AutoExtractor
    
    extractor = AutoExtractor.from_pretrained("smdesai/GLiNER25-Decide-FP16-CoreML")
    
    # 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
GLiNER25-Decide-FP16-CoreML
953 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
smdesai's picture
smdesai
Delete README.md~
adb998f verified 15 days ago
  • GLiNER25-Decide-FP16-CoreML.mlpackage
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  • .gitattributes
    1.52 kB
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  • README.md
    2.91 kB
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  • model-card.md
    16.9 kB
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  • special_tokens_map.json
    2.41 kB
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  • tokenizer.json
    8.33 MB
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  • tokenizer_config.json
    3.36 kB
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