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roberta-classical-chinese-base-char
KoichiYasuoka/roberta-classical-chinese-base-char
roberta-classical-chinese-base-char 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 apache-2.0.
This is a RoBERTa model pre-trained on Classical Chinese texts, derived from GuwenBERT-base. Character-embeddings are enhanced into traditional/simplified characters. You can fine-tune roberta-classical-chinese-base-c…
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Aug 20, 2024
- SHA
- 51e91a52
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Base models
Model card
From the Hugging Face model README
roberta-classical-chinese-base-char
Model Description
This is a RoBERTa model pre-trained on Classical Chinese texts, derived from GuwenBERT-base. Character-embeddings are enhanced into traditional/simplified characters. You can fine-tune roberta-classical-chinese-base-char for downstream tasks, such as sentence-segmentation, POS-tagging, dependency-parsing, and so on.
How to Use
from transformers import AutoTokenizer,AutoModelForMaskedLM
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-base-char")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-classical-chinese-base-char")
See Also
SuPar-Kanbun: Tokenizer POS-tagger and Dependency-parser for Classical Chinese
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- lzh
- Hf Inference
- live
- Created
- Mar 2, 2022
- Updated
- Aug 20, 2024