README.md

---
language:
- "ja"
tags:
- "japanese"
- "pos"
- "dependency-parsing"
base_model: KoichiYasuoka/gpt2-small-japanese-juman-upos
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"
---

# gpt2-small-japanese-juman-ud-causal

## Model Description

This is a GPT-2 model pretrained for POS-tagging and dependency-parsing, derived from [gpt2-small-japanese-juman-upos](https://huggingface.co/KoichiYasuoka/gpt2-small-japanese-juman-upos) and [UD_Japanese-GSDLUW](https://github.com/UniversalDependencies/UD_Japanese-GSDLUW).

## How to Use

```
from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/gpt2-small-japanese-juman-ud-causal",trust_remote_code=True)
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](https://pypi.org/project/fugashi) is required.