|
--- |
|
language: |
|
- "lzh" |
|
tags: |
|
- "classical chinese" |
|
- "literary chinese" |
|
- "ancient chinese" |
|
- "masked-lm" |
|
base_model: ethanyt/guwenbert-large |
|
license: "apache-2.0" |
|
pipeline_tag: "fill-mask" |
|
mask_token: "[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 [sentence-segmentation](https://huggingface.co./KoichiYasuoka/roberta-classical-chinese-large-sentence-segmentation), [POS-tagging](https://huggingface.co./KoichiYasuoka/roberta-classical-chinese-large-upos), [dependency-parsing](https://huggingface.co./KoichiYasuoka/roberta-classical-chinese-large-ud-goeswith), and so on. |
|
|
|
## How to Use |
|
|
|
```py |
|
from transformers import AutoTokenizer,AutoModelForMaskedLM |
|
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-char") |
|
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-char") |
|
``` |
|
|
|
## See Also |
|
|
|
[SuPar-Kanbun](https://github.com/KoichiYasuoka/SuPar-Kanbun): Tokenizer POS-tagger and Dependency-parser for Classical Chinese |
|
|
|
|
