Edit model card

About

A transformer-based model for named entity recognition for Polish. The model was trained on the NKJP corpus to recognize 12 categories of NEs.

Usage

conda create -n pdn2_demo python=3.8
conda activate pdn2_demo
https://pypi.clarin-pl.eu/packages/poldeepner2-0.8.2-py3-none-any.whl
git clone https://huggingface.co/CodeNLP/pdn2_v08_nkjp_large
import poldeepner2

ner = poldeepner2.load("pdn2_v08_nkjp_large", device="cpu")


text = "Od 15 września 2023 roku premierem Łotwy jest Evika Siliņa"

for an in ner.process_text(text):
    print(f"[{an.start}:{an.end}] {an.text} ({an.label})")

Expected output:

[3:24] 15 września 2023 roku (date)
[35:40] Łotwy (placeName_country)
[46:58] Evika Siliņa (persName)
[46:51] Evika (persName_forename)
[52:58] Siliņa (persName_surname)

Author

Michał Marcińczuk [email protected]

License

[MIT](https://choosealicense.com/licenses/mit/

Downloads last month
4
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train CodeNLP/pdn2_v08_nkjp_large