Token Classification
GLiNER
PyTorch
ONNX
Portuguese
English
ner
pii
ptbr
deberta-v3
token-level
legacy
failed-run
Instructions to use arthrod/v1-deberta_small-token_level-0-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use arthrod/v1-deberta_small-token_level-0-6 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("arthrod/v1-deberta_small-token_level-0-6") 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