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:
- 0aa4df82d668422fad9d4fcad84b9b434a8d69d87d660d1676d2af5ba29bd5ee
- Size of remote file:
- 23.7 MB
- SHA256:
- d6f6f3335deb11f0d55f4ff22c9cec2bc6b5a0f3c99f4c396fcb124776d316a2
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