metadata
language:
- sr
tags:
- serbian
- token-classification
- pos
- dependency-parsing
base_model: jerteh/gpt2-orao
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-large-serbian-upos
Model Description
This is a GPT-2 model in Serbian (Cyrillic and Latin) for POS-tagging and dependency-parsing, derived from gpt2-orao. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
How to Use
from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/gpt2-large-serbian-upos",trust_remote_code=True,aggregation_strategy="simple")
or
import esupar
nlp=esupar.load("KoichiYasuoka/gpt2-large-serbian-upos")
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa/GPT models