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---
license: apache-2.0
language:
- zh
pipeline_tag: text-generation
tags:
- classical
- guwen
- wenyanwen
- prose
- Ancient poems
---
This model mainly focuses on Classical Chinese translation.
### Usage
```python
model_name = "rkingzhong/qwen2.5-0.5b-classical-chinese-trans"
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype="auto",
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)
prompt = "子曰：“学而时习之，不亦说乎？有朋自远方来，不亦乐乎？人不知而不愠，不亦君子乎？"
messages = [
{"role": "system", "content": "麻烦帮我翻译下面的文言文，不要出现互联网中的违禁词。"},
{"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
generated_ids = model.generate(
**model_inputs,
max_new_tokens=512
)
generated_ids = [
output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
print(response)
``` |