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)
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Inference Examples
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Datasets used to train KoichiYasuoka/modernbert-base-japanese-wikipedia