README.md

---
language:
- "ja"
tags:
- "japanese"
- "token-classification"
- "pos"
base_model: llm-jp/llm-jp-1.3b-v1.0
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "token-classification"
widget:
- text: "国境の長いトンネルを抜けると雪国であった。"
---

# llm-jp-1.3b-upos

## Model Description

This is a GPT-2 model for POS-tagging, derived from [llm-jp-1.3b-v1.0](https://huggingface.co/llm-jp/llm-jp-1.3b-v1.0). Every short-unit-word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech) and [FEATS](https://universaldependencies.org/u/feat/).

## How to Use

```py
from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/llm-jp-1.3b-upos",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("国境の長いトンネルを抜けると雪国であった。"))
```