---
license: mit
datasets:
- nkjp-ner
language:
- pl
tags:
- poldeepner2
- ner
---
## 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

```bash
conda create -n pdn2_demo python=3.8
```

```bash
conda activate pdn2_demo
```

```bash
https://pypi.clarin-pl.eu/packages/poldeepner2-0.8.2-py3-none-any.whl
```

```bash
git clone https://huggingface.co/CodeNLP/pdn2_v08_nkjp_large
```

```python
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 <marcinczuk@gmail.com>


## License

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