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---
language:
- "be"
tags:
- "belarusian"
- "masked-lm"
license: "cc-by-sa-4.0"
datasets:
- "statmt/cc100"
- "wikimedia/wikipedia"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
---
# deberta-base-belarusian
## Model Description
This is a DeBERTa(V2) model pre-trained on Belarusian Wikipedia and CC-100 texts. You can fine-tune `deberta-base-belarusian` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/deberta-base-belarusian-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/deberta-base-belarusian-ud-goeswith), and so on.
## How to Use
```py
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-belarusian")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-belarusian")
```
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