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--- |
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language: |
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- "ja" |
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tags: |
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- "japanese" |
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- "masked-lm" |
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- "modernbert" |
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datasets: |
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- "globis-university/aozorabunko-clean" |
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- "wikimedia/wikipedia" |
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license: "apache-2.0" |
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pipeline_tag: "fill-mask" |
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mask_token: "[MASK]" |
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widget: |
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- text: "日本に着いたら[MASK]を訪ねなさい。" |
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--- |
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# modernbert-large-japanese-char |
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## Model Description |
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This is a ModernBERT model pre-trained on Japanese Wikipedia and 青空文庫 texts. NVIDIA A100-SXM4-40GB×8 took 116 hours 46 minutes for training. You can fine-tune `modernbert-large-japanese-char` for downstream tasks, such as [POS-tagging](https://huggingface.co./KoichiYasuoka/modernbert-large-japanese-char-upos), [dependency-parsing](https://huggingface.co./KoichiYasuoka/modernbert-large-japanese-char-ud-triangular), and so on. |
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## How to Use |
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```py |
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from transformers import AutoTokenizer,AutoModelForMaskedLM |
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tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/modernbert-large-japanese-char") |
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model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/modernbert-large-japanese-char",trust_remote_code=True) |
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``` |
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