KoichiYasuoka's picture
initial release
e1fd365
---
language:
- "ja"
tags:
- "japanese"
- "token-classification"
- "pos"
license: "cc-by-sa-4.0"
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。"
---
# roberta-small-japanese-luw-upos
## Model Description
This is a RoBERTa model pre-trained on Japanese 青空文庫 texts for POS-tagging, derived from [roberta-small-japanese-aozora](https://huggingface.co/KoichiYasuoka/roberta-small-japanese-aozora). Every long-unit-word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech).
## How to Use
```py
from transformers import AutoTokenizer,AutoModelForTokenClassification,TokenClassificationPipeline
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-small-japanese-luw-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-small-japanese-luw-upos")
pipeline=TokenClassificationPipeline(tokenizer=tokenizer,model=model,aggregation_strategy="simple")
print([(t["word"],t["entity_group"]) for t in pipeline("国境の長いトンネルを抜けると雪国であった。")])
```