language: | |
- "ain" | |
tags: | |
- "ainu" | |
- "token-classification" | |
- "pos" | |
- "dependency-parsing" | |
base_model: KoichiYasuoka/deberta-base-ainu-upos | |
license: "cc-by-sa-4.0" | |
pipeline_tag: "token-classification" | |
widget: | |
- text: "itak=as awa pon rupne aynu ene itaki" | |
- text: "イタカㇱ アワ ポン ルㇷ゚ネ アイヌ エネ イタキ" | |
- text: "итакас ава пон рубне айну эне итакі" | |
# deberta-base-ainu-ud-goeswith | |
## Model Description | |
This is a DeBERTa(V2) model pre-trained on Ainu texts (in カタカナ, Roman, and Кириллица) for POS-tagging and dependency-parsing (using `goeswith` for subwords), derived from [deberta-base-ainu-upos](https://huggingface.co/KoichiYasuoka/deberta-base-ainu-upos). | |
## How to Use | |
``` | |
from transformers import pipeline | |
nlp=pipeline("universal-dependencies","KoichiYasuoka/deberta-base-ainu-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple") | |
print(nlp("itak=as awa pon rupne aynu ene itaki")) | |
``` | |
## Reference | |
安岡孝一: [ローマ字・カタカナ・キリル文字併用アイヌ語RoBERTa・DeBERTaモデルの開発](http://id.nii.ac.jp/1001/00224072/), 情報処理学会研究報告, Vol.2023-CH-131『人文科学とコンピュータ』, No.7 (2023年2月18日), pp.1-7. | |