Text Classification
GLiNER2
Safetensors
Turkish
English
multilingual
extractor
decision-making
routing
guardrail
rag
tool-selection
pii
language-identification
turkish
Instructions to use sevket09/GLiNER2.5-Decide-TR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use sevket09/GLiNER2.5-Decide-TR with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("sevket09/GLiNER2.5-Decide-TR") # 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
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!