|
--- |
|
language: |
|
- "ja" |
|
tags: |
|
- "japanese" |
|
- "masked-lm" |
|
- "wikipedia" |
|
base_model: tohoku-nlp/bert-base-japanese-char-v2 |
|
license: "cc-by-sa-4.0" |
|
pipeline_tag: "fill-mask" |
|
mask_token: "[MASK]" |
|
widget: |
|
- text: "酸素ボンベを充[MASK]する。" |
|
--- |
|
|
|
# bert-base-japanese-char-extended |
|
|
|
## Model Description |
|
|
|
This is a BERT model pre-trained on Japanese Wikipedia texts, derived from [bert-base-japanese-char-v2](https://huggingface.co/tohoku-nlp/bert-base-japanese-char-v2). Character-embeddings are enhanced to include all 常用漢字/人名用漢字 characters using BertTokenizerFast. You can fine-tune `bert-base-japanese-char-extended` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/bert-base-japanese-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/bert-base-japanese-wikipedia-ud-head), and so on. |
|
|
|
## How to Use |
|
|
|
```py |
|
from transformers import AutoTokenizer,AutoModelForMaskedLM |
|
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-japanese-char-extended") |
|
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/bert-base-japanese-char-extended") |
|
``` |
|
|
|
|
