---
language:
- zh
- en
pipeline_tag: text2text-generation
---

You can see more detail in this [repo](https://github.com/clue-ai/ChatYuan-7B)


# How to use
```python
from transformers import LlamaForCausalLM, AutoTokenizer
import torch

ckpt = "tiansz/ChatYuan-7B-merge"
device = torch.device('cuda')
model = LlamaForCausalLM.from_pretrained(ckpt)
tokenizer = AutoTokenizer.from_pretrained(ckpt)

def answer(prompt):
  prompt = f"用户：{prompt}\n小元："
  input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(device)
  generate_ids = model.generate(input_ids, max_new_tokens=1024, do_sample = True, temperature = 0.7)
  output = tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
  response = output[len(prompt):]
  return response

result = answer("你好")
print(result)
```


# License
- [ChatYuan-7B](https://github.com/clue-ai/ChatYuan-7B)
- [llama](https://github.com/facebookresearch/llama)