Instructions to use davanstrien/hub-task-tagger-gliner2.5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use davanstrien/hub-task-tagger-gliner2.5-base with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("davanstrien/hub-task-tagger-gliner2.5-base") # 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
Commit History
27 days ago
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Model card (draft for review) (#1)
- Model card (draft for review) (b52bcf792fd32b1198eb164829705d3066d7a467) - Ship tagger_core.py with the model; card imports it via sys.path (b56ff1d9a5418303b3c88c5803c0ce9a86ebc293)2549739 -
Weights: GLiNER2.5-base fine-tuned on Hub dataset task tags (v3)
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initial commit
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