| language: | |
| - "ja" | |
| tags: | |
| - "japanese" | |
| - "masked-lm" | |
| license: "cc-by-sa-4.0" | |
| pipeline_tag: "fill-mask" | |
| mask_token: "[MASK]" | |
| widget: | |
| - text: "日本に着いたら[MASK]を訪ねなさい。" | |
| # deberta-base-japanese-unidic | |
| ## Model Description | |
| This is a DeBERTa(V2) model pre-trained on 青空文庫 texts with BertJapaneseTokenizer. You can fine-tune `deberta-base-japanese-unidic` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/deberta-base-japanese-unidic-luw-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/deberta-base-japanese-unidic-ud-head), and so on. | |
| ## How to Use | |
| ```py | |
| from transformers import AutoTokenizer,AutoModelForMaskedLM | |
| tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-japanese-unidic") | |
| model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-japanese-unidic") | |
| ``` | |
| [fugashi](https://pypi.org/project/fugashi) and [unidic-lite](https://pypi.org/project/unidic-lite) are required. | |