|
--- |
|
license: apache-2.0 |
|
--- |
|
# Model Description |
|
Erya4FT is based on Erya and further fine-tuned on our dataset[RUCAIBox/Erya-dataset · Datasets at Hugging Face](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/Erya") |
|
model = CPTForConditionalGeneration.from_pretrained("RUCAIBox/Erya4FT") |
|
|
|
input_ids = tokenizer("安世字子孺，少以父任为郎。", 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)) |
|
``` |
