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--- |
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license: apache-2.0 |
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language: |
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- zh |
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metrics: |
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- bleu |
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pipeline_tag: translation |
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widget: |
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- text: "安世字子孺，少以父任为郎" |
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example_title: "translation" |
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--- |
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# Model Description |
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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. |
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# Example |
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```python |
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from transformers import BertTokenizer, CPTForConditionalGeneration |
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tokenizer = BertTokenizer.from_pretrained("RUCAIBox/Erya4FT") |
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model = CPTForConditionalGeneration.from_pretrained("RUCAIBox/Erya4FT") |
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input_ids = tokenizer("安世字子孺，少以父任为郎。", return_tensors='pt') |
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input_ids.pop("token_type_ids") |
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pred_ids = model.generate(max_new_tokens=256, **input_ids) |
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print(tokenizer.batch_decode(pred_ids, skip_special_tokens=True)) |
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``` |
