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1from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
2
3tokenizer = AutoTokenizer.from_pretrained("hiyouga/Llama-2-Chinese-13b-chat")
4model = AutoModelForCausalLM.from_pretrained("hiyouga/Llama-2-Chinese-13b-chat").cuda()
5streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
6
7query = "晚上睡不着怎么办"
8template = (
9 "A chat between a curious user and an artificial intelligence assistant. "
10 "The assistant gives helpful, detailed, and polite answers to the user's questions.\n"
11 "Human: {}\nAssistant: "
12)
13
14inputs = tokenizer([template.format(query)], return_tensors="pt")
15inputs = inputs.to("cuda")
16generate_ids = model.generate(**inputs, max_new_tokens=256, streamer=streamer)python src/cli_demo.py --template default --model_name_or_path hiyouga/Llama-2-Chinese-13b-chat

1# 列表1
2lst1 = [1, 2, 3, 4, 5, 6]
3# 列表2
4lst2 = [4, 5, 6, 7, 8, 9]
5# 找到共同元素
6common_elements = list(set(lst1) & set(lst2))
7print(common_elements)