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---
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
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