---
language:
- "be"
tags:
- "belarusian"
- "token-classification"
- "pos"
- "dependency-parsing"
base_model: KoichiYasuoka/deberta-base-belarusian
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
---

# deberta-base-belarusian-upos

## Model Description

This is a DeBERTa(V2) model pre-trained with [UD_Belarusian](https://universaldependencies.org/be/) for POS-tagging and dependency-parsing, derived from [deberta-base-belarusian](https://huggingface.co/KoichiYasuoka/deberta-base-belarusian). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech) and [FEATS](https://universaldependencies.org/u/feat/).

## How to Use

```py
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-belarusian-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/deberta-base-belarusian-upos")
```

or

```
import esupar
nlp=esupar.load("KoichiYasuoka/deberta-base-belarusian-upos")
```

## See Also

[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models