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KoichiYasuoka/deberta-base-japanese-aozora
deberta-base-japanese-aozora is a fill-mask model from KoichiYasuoka. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
This is a DeBERTa(V2) model pre-trained on 青空文庫 texts. NVIDIA A100-SXM4-40GB took 36 hours 44 minutes for training. You can fine-tune deberta-base-japanese-aozora for downstream tasks, such as POS-tagging, dependency-…
Downloads · 30 days
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12% of all-time downloads
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From the Hugging Face model README
This is a DeBERTa(V2) model pre-trained on 青空文庫 texts. NVIDIA A100-SXM4-40GB took 36 hours 44 minutes for training. You can fine-tune deberta-base-japanese-aozora for downstream tasks, such as POS-tagging, dependency-parsing, and so on.
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-japanese-aozora")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-japanese-aozora")
安岡孝一: 青空文庫DeBERTaモデルによる国語研長単位係り受け解析, 東洋学へのコンピュータ利用, 第35回研究セミナー (2022年7月), pp.29-43.