
# roberta-base-serbian-upos

## Model Description

This is a RoBERTa model in Serbian (Cyrillic and Latin) for POS-tagging and dependency-parsing, derived from [roberta-base-serbian](https://huggingface.co/KoichiYasuoka/roberta-base-serbian). 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/roberta-base-serbian-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-base-serbian-upos")
```

or

```
import esupar
nlp=esupar.load("KoichiYasuoka/roberta-base-serbian-upos")
```

## See Also

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


{"language": ["sr"], "license": "cc-by-sa-4.0", "tags": ["serbian", "token-classification", "pos", "dependency-parsing"], "datasets": ["universal_dependencies"], "pipeline_tag": "token-classification", "widget": [{"text": "\u0414\u0430 \u0438\u043c\u0430 \u0441\u0438\u0440\u0430 \u0438 \u043c\u0430\u0441\u043b\u0430 \u0438 \u043c\u043e\u0458\u0430 \u0431\u0438 \u043c\u0430\u0442\u0438 \u0437\u043d\u0430\u043b\u0430 \u0433\u0438\u0431\u0430\u0442\u0438 \u0433\u0438\u0431\u0430\u043d\u0438\u0446\u0443."}, {"text": "Da ima sira i masla i moja bi mati znala gibati gibanicu."}]}
transformers pytorch roberta token-classification serbian pos dependency-parsing sr dataset:universal_dependencies license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #token-classification #serbian #pos #dependency-parsing #sr #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 


# roberta-base-serbian-upos

## Model Description

This is a RoBERTa model in Serbian (Cyrillic and Latin) for POS-tagging and dependency-parsing, derived from roberta-base-serbian. 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


# roberta-base-serbian-upos ## Model Description

This is a RoBERTa model in Serbian (Cyrillic and Latin) for POS-tagging and dependency-parsing, derived from roberta-base-serbian. 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 #roberta #token-classification #serbian #pos #dependency-parsing #sr #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # roberta-base-serbian-upos ## Model Description

This is a RoBERTa model in Serbian (Cyrillic and Latin) for POS-tagging and dependency-parsing, derived from roberta-base-serbian. 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 #roberta #token-classification #serbian #pos #dependency-parsing #sr #dataset-universal_dependencies #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
# roberta-base-serbian-upos## Model Description

This is a RoBERTa model in Serbian (Cyrillic and Latin) for POS-tagging and dependency-parsing, derived from roberta-base-serbian. 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