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KoichiYasuoka/bert-base-japanese-wikipedia-ud-head

Question Answering·KoichiYasuoka· 53· 1
transformers cc-by-sa-4.0 Question Answering dataset:universal_dependenciesbase_model:KoichiYasuoka/bert-base-japanese-char-extendedbase_model:finetune:KoichiYasuoka/bert-base-japanese-char-extendedlicense:cc-by-sa-4.0

This is a BERT model pretrained on Japanese Wikipedia texts for dependency-parsing (head-detection on long-unit-words) as question-answering, derived from bert-base-japanese-char-extended and UDJapanese-GSDLUW. Use [MASK] inside context to avoid ambiguity when specifying a multiple-used word as question.

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# pull & run locally
pip install mlforge-sdk && mlforge pull KoichiYasuoka/bert-base-japanese-wikipedia-ud-head

Model details

Task
Question Answering
Provider
KoichiYasuoka
Framework
transformers
Size
1.7 GB
License
cc-by-sa-4.0
Downloads
53
Likes
1
Updated
2024-08-20

About KoichiYasuoka/bert-base-japanese-wikipedia-ud-head

This is a BERT model pretrained on Japanese Wikipedia texts for dependency-parsing (head-detection on long-unit-words) as question-answering, derived from bert-base-japanese-char-extended and UDJapanese-GSDLUW. Use [MASK] inside context to avoid ambiguity when specifying a multiple-used word as question.

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