Instructions to use nicolasembleton/gliner2.5-multi-v1-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use nicolasembleton/gliner2.5-multi-v1-onnx with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("nicolasembleton/gliner2.5-multi-v1-onnx") # 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
- Xet hash:
- 66906bae26dd3009f76b54819bc770b10a9e4341537bc3f0c437b078c6b564ff
- Size of remote file:
- 16 MB
- SHA256:
- b107e2e5998e7429491aaae7807d8b0815ff3e06fcb5ba95bc6a35c9b93185c5
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