from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

# 加载tokenizer
tokenizer = AutoTokenizer.from_pretrained("模型仓库路径")

# 加载基础模型
base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-0.5B-Instruct", trust_remote_code=True)

# 调整基础模型词表大小
base_model.resize_token_embeddings(len(tokenizer))

# 加载LoRA适配器
model = PeftModel.from_pretrained(base_model, "模型仓库路径")

# 模型推理
inputs = tokenizer("def hello_world():", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

autoprogrammer/qwen-3b-sven-lora

SafeCoder LoRA Adapter

模型描述

使用

autoprogrammer/
qwen-3b-sven-lora