|
--- |
|
language: |
|
- "ja" |
|
tags: |
|
- "japanese" |
|
- "token-classification" |
|
- "pos" |
|
base_model: KoichiYasuoka/modernbert-base-japanese-aozora |
|
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。" |
|
--- |
|
|
|
# modernbert-base-japanese-aozora-upos |
|
|
|
## Model Description |
|
|
|
This is a ModernBERT model pre-trained on 青空文庫 texts for POS-tagging and dependency-parsing, derived from [modernbert-base-japanese-aozora](https://huggingface.co/KoichiYasuoka/modernbert-base-japanese-aozora). 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/modernbert-base-japanese-aozora-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。")) |
|
``` |
|
|
|
or |
|
|
|
```py |
|
import esupar |
|
nlp=esupar.load("KoichiYasuoka/modernbert-base-japanese-aozora-upos") |
|
print(nlp("国境の長いトンネルを抜けると雪国であった。")) |
|
``` |
|
|
|
## See Also |
|
|
|
[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa/GPT models |
|
|
|
|
