metadata

language:
  - ja
tags:
  - japanese
  - masked-lm
  - modernbert
datasets:
  - globis-university/aozorabunko-clean
  - wikimedia/wikipedia
license: apache-2.0
pipeline_tag: fill-mask
mask_token: '[MASK]'
widget:
  - text: 日本に着いたら[MASK]を訪ねなさい。

modernbert-base-japanese-wikipedia

Model Description

This is a ModernBERT model pre-trained on Japanese Wikipedia and 青空文庫 texts. NVIDIA A100-SXM4-40GB×8 took 56 hours 49 minutes for training. You can fine-tune modernbert-base-japanese-wikipedia for downstream tasks, such as POS-tagging, dependency-parsing, and so on.

How to Use

from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/modernbert-base-japanese-wikipedia")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/modernbert-base-japanese-wikipedia",trust_remote_code=True)