metadata

language:
  - ko
tags:
  - korean
  - token-classification
  - pos
  - dependency-parsing
base_model: KoichiYasuoka/roberta-base-korean-hanja
datasets:
  - universal_dependencies
license: cc-by-sa-4.0
pipeline_tag: token-classification
widget:
  - text: 홍시 맛이 나서 홍시라 생각한다.
  - text: 紅柹 맛이 나서 紅柹라 生覺한다.

roberta-base-korean-ud-goeswith

Model Description

This is a RoBERTa model pre-trained on Korean texts for POS-tagging and dependency-parsing (using goeswith for subwords), derived from roberta-base-korean-hanja.

How to Use

from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/roberta-base-korean-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("홍시 맛이 나서 홍시라 생각한다."))