Token Classification
GLiNER
ONNX
English
multilingual
ner
social-media
username-extraction
int8
quantized
cpu
Instructions to use LumeData/HandleAtlas-166m-CPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use LumeData/HandleAtlas-166m-CPU with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("LumeData/HandleAtlas-166m-CPU") 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
Ctrl+K