
# bert-base-slavic-cyrillic-upos

## Model Description

This is a BERT model pre-trained with Slavic-Cyrillic ([UD_Belarusian](https://universaldependencies.org/be/) [UD_Bulgarian](https://universaldependencies.org/bg/) [UD_Russian](https://universaldependencies.org/ru/) [UD_Serbian](https://universaldependencies.org/treebanks/sr_set/) [UD_Ukrainian](https://universaldependencies.org/treebanks/uk_iu/)) for POS-tagging and dependency-parsing, derived from [ruBert-base](https://huggingface.co/sberbank-ai/ruBert-base). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech).

## How to Use

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

or

```py
import esupar
nlp=esupar.load("KoichiYasuoka/bert-base-slavic-cyrillic-upos")
```

## See Also

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


{"language": ["be", "bg", "mk", "ru", "sr", "uk"], "license": "cc-by-sa-4.0", "tags": ["belarusian", "bulgarian", "macedonian", "russian", "serbian", "ukrainian", "token-classification", "pos", "dependency-parsing"], "datasets": ["universal_dependencies"], "pipeline_tag": "token-classification"}
transformers pytorch bert token-classification belarusian bulgarian macedonian russian serbian ukrainian pos dependency-parsing be bg mk ru sr uk dataset:universal_dependencies license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #belarusian #bulgarian #macedonian #russian #serbian #ukrainian #pos #dependency-parsing #be #bg #mk #ru #sr #uk #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 


# bert-base-slavic-cyrillic-upos

## Model Description

This is a BERT model pre-trained with Slavic-Cyrillic (UD_Belarusian UD_Bulgarian UD_Russian UD_Serbian UD_Ukrainian) for POS-tagging and dependency-parsing, derived from ruBert-base. Every word is tagged by UPOS (Universal Part-Of-Speech).

## How to Use



or



## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models


# bert-base-slavic-cyrillic-upos ## Model Description

This is a BERT model pre-trained with Slavic-Cyrillic (UD_Belarusian UD_Bulgarian UD_Russian UD_Serbian UD_Ukrainian) for POS-tagging and dependency-parsing, derived from ruBert-base. Every word is tagged by UPOS (Universal Part-Of-Speech). ## How to Use



or ## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
TAGS
#transformers #pytorch #bert #token-classification #belarusian #bulgarian #macedonian #russian #serbian #ukrainian #pos #dependency-parsing #be #bg #mk #ru #sr #uk #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # bert-base-slavic-cyrillic-upos ## Model Description

This is a BERT model pre-trained with Slavic-Cyrillic (UD_Belarusian UD_Bulgarian UD_Russian UD_Serbian UD_Ukrainian) for POS-tagging and dependency-parsing, derived from ruBert-base. Every word is tagged by UPOS (Universal Part-Of-Speech). ## How to Use



or ## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
passage: TAGS
#transformers #pytorch #bert #token-classification #belarusian #bulgarian #macedonian #russian #serbian #ukrainian #pos #dependency-parsing #be #bg #mk #ru #sr #uk #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
# bert-base-slavic-cyrillic-upos## Model Description

This is a BERT model pre-trained with Slavic-Cyrillic (UD_Belarusian UD_Bulgarian UD_Russian UD_Serbian UD_Ukrainian) for POS-tagging and dependency-parsing, derived from ruBert-base. Every word is tagged by UPOS (Universal Part-Of-Speech).## How to Use



or## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models