Token Classification
GLiNER
ONNX
Safetensors
NER
GLiNER
information extraction
encoder
entity recognition
Instructions to use knowledgator/gliner-x-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use knowledgator/gliner-x-small with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("knowledgator/gliner-x-small") text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal." labels = ["person", "date", "location"] entities = model.predict_entities(text, labels) for entity in entities: print(entity["text"], "=>", entity["label"]) - Notebooks
- Google Colab
- Kaggle
Download plot.png from knowledgator/gliner-x-small: direct link, hf CLI and curl.
- Browser
- Download file 62.6 kB
-
https://huggingface.co/knowledgator/gliner-x-small/resolve/main/plot.png
- Command line
-
hf download hf://knowledgator/gliner-x-small/plot.png
-
curl -L -o plot.png https://huggingface.co/knowledgator/gliner-x-small/resolve/main/plot.png
62.6 kB
