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FluidInference
/
gliner2-5-multi-coreml

Token Classification
Core ML
GLiNER2
coremltools
extractor
multilingual
apple-silicon
Model card Files Files and versions
xet
Community

Instructions to use FluidInference/gliner2-5-multi-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use FluidInference/gliner2-5-multi-coreml with GLiNER2:

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("FluidInference/gliner2-5-multi-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
gliner2-5-multi-coreml / reports
93 kB
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  • 1 contributor
History: 4 commits
alexwengg's picture
alexwengg
Document ANE placement across all FP16 extraction stages
1c0b7f9 verified 3 days ago
  • classification-embedding-w8.json
    7.02 kB
    Add validated asymmetric embedding W8 classification option 3 days ago
  • extraction-validation.json
    2.37 kB
    Add validated GLiNER2 extraction Core ML stages 3 days ago
  • extraction-verify-fp16.json
    20.7 kB
    Add validated GLiNER2 extraction Core ML stages 3 days ago
  • extraction-verify-fp32.json
    20.9 kB
    Add validated GLiNER2 extraction Core ML stages 3 days ago
  • extraction-w8-adaptive.json
    11.5 kB
    Add validated W8 extraction packages and ANE profiling for multi 3 days ago
  • extraction-w8-fp16_cpu_ne.json
    11.4 kB
    Add validated W8 extraction packages and ANE profiling for multi 3 days ago
  • extraction-w8-fp32_all.json
    11.2 kB
    Add validated W8 extraction packages and ANE profiling for multi 3 days ago
  • extraction-w8-validation.json
    7.94 kB
    Document ANE placement across all FP16 extraction stages 3 days ago