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#!/usr/bin/env python3
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "./"
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
model_path,
device_map="auto",
trust_remote_code=True,
)
prompt = "山东省最高的山是"
print("=================== input ===================")
print(prompt)
print("=================== output ==================")
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(
**inputs,
max_new_tokens=50,
)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(result)
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