KoichiYasuoka's picture
esupar
895d9f4
metadata
language:
  - sr
tags:
  - serbian
  - token-classification
  - pos
  - dependency-parsing
datasets:
  - universal_dependencies
license: cc-by-sa-4.0
pipeline_tag: token-classification
widget:
  - text: Да има сира и масла и моја би мати знала гибати гибаницу.
  - text: Da ima sira i masla i moja bi mati znala gibati gibanicu.

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

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