metadata

language:
  - ja
tags:
  - japanese
  - wikipedia
  - cc100
  - oscar
  - pos
  - dependency-parsing
datasets:
  - universal_dependencies
license: cc-by-sa-4.0
pipeline_tag: token-classification
widget:
  - text: 全学年にわたって小学校の国語の教科書に挿し絵が用いられている

deberta-base-japanese-juman-ud-goeswith

Model Description

This is a DeBERTa(V2) model pretrained on Japanese Wikipedia, CC-100, and OSCAR texts for POS-tagging and dependency-parsing (using goeswith for subwords), derived from deberta-v2-base-japanese.

How to Use

from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/deberta-base-japanese-juman-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("全学年にわたって小学校の国語の教科書に挿し絵が用いられている"))

fugashi and pytextspan are required.