Token Classification
GLiNER
PyTorch
Catalan
Spanish
NER
Catalan
NLP
television transcriptions
manual annotation
GLiNER
Instructions to use Ugiat/NERCat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use Ugiat/NERCat with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("Ugiat/NERCat") 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 config.json from Ugiat/NERCat: direct link, hf CLI and curl.
- Browser
- Download file 6 Bytes
-
https://huggingface.co/Ugiat/NERCat/resolve/main/config.json
- Command line
-
hf download hf://Ugiat/NERCat/config.json
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curl -L -o config.json https://huggingface.co/Ugiat/NERCat/resolve/main/config.json
6 Bytes
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