---
license: apache-2.0
language:
- zh
metrics:
- bleu
pipeline_tag: translation
widget:
- text: "竖子不足与谋。"
  example_title: "translation"
---
# Model Description
Erya4FT is based on [Erya](https://huggingface.co/RUCAIBox/Erya) and further fine-tuned on our [Dataset](https://huggingface.co/datasets/RUCAIBox/Erya-dataset), enhancing the ability to translate ancient Chinese into Modern Chinese. 


# Example

```python
>>> from transformers import BertTokenizer, CPTForConditionalGeneration

>>> tokenizer = BertTokenizer.from_pretrained("RUCAIBox/Erya4FT")
>>> model = CPTForConditionalGeneration.from_pretrained("RUCAIBox/Erya4FT")

>>> input_ids = tokenizer("竖子不足与谋。", return_tensors='pt')
>>> input_ids.pop("token_type_ids")

>>> pred_ids = model.generate(max_new_tokens=256, **input_ids)
>>> print(tokenizer.batch_decode(pred_ids, skip_special_tokens=True))
    ['这 小 子 不 值 得 与 他 商 量 。']
```