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1from transformers import AutoTokenizer, AutoModelForCausalLM
2
3model_name = "Chuxia-sys/Lora_tuned_planner"
4tokenizer = AutoTokenizer.from_pretrained(model_name)
5model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
6
7prompt = "Plan a 3-day trip to Kyoto..."
8inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
9outputs = model.generate(**inputs, max_new_tokens=512)
10print(tokenizer.decode(outputs[0], skip_special_tokens=True))