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---
language:
- "lzh"
tags:
- "classical chinese"
- "literary chinese"
- "ancient chinese"
license: "apache-2.0"
pipeline_tag: "fill-mask"
widget:
- text: "孟子[MASK]梁惠王"
---
# roberta-classical-chinese-large-char
## Model Description
This is a RoBERTa model pre-trained on Classical Chinese texts, derived from [GuwenBERT-large](https://huggingface.co./ethanyt/guwenbert-large). Character-embeddings are enhanced into traditional/simplified characters. You can fine-tune `roberta-classical-chinese-large-char` for downstream tasks, such as sentencization, POS-tagging, dependency-parsing, and so on.
## How to Use
```py
from transformers import AutoTokenizer,AutoModel
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-char")
model=AutoModel.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-char")
```