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deberta-base-japanese-wikipedia
KoichiYasuoka/deberta-base-japanese-wikipedia
deberta-base-japanese-wikipedia 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 Japanese Wikipedia and 青空文庫 texts. NVIDIA A100-SXM4-40GB took 109 hours 27 minutes for training. You can fine-tune deberta-base-japanese-wikipedia for downstream tasks, such…
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- deberta-v2
- Access
- Public
- Created
- Jun 25, 2022
- Updated
- Jan 27, 2023
- SHA
- 88feb340
Try a prompt
Model card
From the Hugging Face model README
deberta-base-japanese-wikipedia
Model Description
This is a DeBERTa(V2) model pre-trained on Japanese Wikipedia and 青空文庫 texts. NVIDIA A100-SXM4-40GB took 109 hours 27 minutes for training. You can fine-tune deberta-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/deberta-base-japanese-wikipedia")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-japanese-wikipedia")
Reference
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.
- Task
- Fill-Mask
- Library
- transformers
- Type
- deberta-v2
- License
- cc-by-sa-4.0
- Languages
- ja
- Created
- Jun 25, 2022
- Updated
- Jan 27, 2023