transformers safetensors llama text-generation conversational autotrain_compatible endpoints_compatible text-generation-inference region:us
请使用以下代码运行我们的模型：
```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_path = 'QiYuan-tech/QiHealth-6B-Beta'

tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)
model = AutoModelForCausalLM.from_pretrained(
    model_path,
    device_map="auto",
    torch_dtype='auto'
).eval()

messages = [
    {"role": "user", "content": "hi"}
]

input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
output_ids = model.generate(input_ids.to('cuda'))
response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)

print(response)
```