|
|
--- |
|
|
language: |
|
|
- "lzh" |
|
|
tags: |
|
|
- "classical chinese" |
|
|
- "literary chinese" |
|
|
- "ancient chinese" |
|
|
- "masked-lm" |
|
|
base_model: KoichiYasuoka/modernbert-large-classical-chinese-traditional |
|
|
license: "apache-2.0" |
|
|
pipeline_tag: "fill-mask" |
|
|
mask_token: "[MASK]" |
|
|
widget: |
|
|
- text: "孟子[MASK]梁惠王" |
|
|
--- |
|
|
|
|
|
# modernbert-large-classical-chinese |
|
|
|
|
|
## Model Description |
|
|
|
|
|
This is a ModernBERT model pre-trained on [Kanripo](https://www.kanripo.org) texts. Character-embeddings are enhanced into traditional/simplified characters. You can fine-tune `modernbert-large-classical-chinese` for downstream tasks, such as sentence-segmentation, POS-tagging, dependency-parsing, and so on. |
|
|
|
|
|
## How to Use |
|
|
|
|
|
```py |
|
|
from transformers import AutoTokenizer,AutoModelForMaskedLM |
|
|
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/modernbert-large-classical-chinese") |
|
|
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/modernbert-large-classical-chinese") |
|
|
``` |
|
|
|
|
|
|
