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
Download extraction-assets.lock.json from FluidInference/gliner2-5-multi-coreml: direct link, hf CLI and curl.
- Browser
- Download file 5.83 kB
-
https://huggingface.co/FluidInference/gliner2-5-multi-coreml/resolve/main/extraction-assets.lock.json
- Command line
-
hf download hf://FluidInference/gliner2-5-multi-coreml/extraction-assets.lock.json
-
curl -L -o extraction-assets.lock.json https://huggingface.co/FluidInference/gliner2-5-multi-coreml/resolve/main/extraction-assets.lock.json
5.83 kB
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