Token Classification
GLiNER2
ONNX
Rust
multilingual
English
onnxruntime
Named Entity Recognition
Relation Extraction
Text classification
information-extraction
boundary-extraction
Instructions to use jugaadsrl/gliner2.5-multi-v1-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use jugaadsrl/gliner2.5-multi-v1-onnx with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("jugaadsrl/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
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