Instructions to use FluidInference/gliner2-5-small-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use FluidInference/gliner2-5-small-coreml with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("FluidInference/gliner2-5-small-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
Set base_model to fastino/gliner2.5-small-v1
Browse files
README.md
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- gliner2
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- neural-engine
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# GLiNER2.5 small Core ML classification
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- gliner2
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- apple-silicon
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- neural-engine
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base_model: fastino/gliner2.5-small-v1
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# GLiNER2.5 small Core ML classification
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