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 AutoExtractor extractor = AutoExtractor.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
Commit History
24 days ago
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Add validated GLiNER2 extraction Core ML stages
Verified signatureFP32 full extraction stages with selected native parity; base also includes FP16 with documented confidence drift. Classification artifacts remain available.fcf4209 -
Publish GLiNER2.5 multilingual Core ML classification exports
Verified signature0a423df