metadata

language:
  - sr
tags:
  - serbian
  - token-classification
  - pos
base_model: jerteh/gpt2-vrabac
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.

gpt2-small-serbian-upos

Model Description

This is a GPT-2 model in Serbian (Cyrillic and Latin) for POS-tagging, derived from gpt2-vrabac. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.

How to Use

from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/gpt2-small-serbian-upos",trust_remote_code=True,aggregation_strategy="simple")