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1function _0x12af(a, b) {
2 let _0x9c3e = a * b;
3 return _0x9c3e + 10;
4}1function multiplyAndAdd(a, b) {
2 let product = a * b;
3 return product + 10;
4}pip install transformers torch accelerate1from transformers import AutoTokenizer, AutoModelForCausalLM
2
3model_id = "Neo111x/aixcoder-renaming"
4
5tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
6model = AutoModelForCausalLM.from_pretrained(
7 model_id,
8 device_map="auto",
9 trust_remote_code=True
10)
11
12code = '''
13function _0x12af(a, b) {
14 let _0x9c3e = a * b;
15 return _0x9c3e + 10;
16}
17'''
18
19inputs = tokenizer(code, return_tensors="pt")
20outputs = model.generate(
21 **inputs,
22 max_new_tokens=1024,
23 do_sample=False
24)
25
26print(tokenizer.decode(outputs[0], skip_special_tokens=True))1@misc{aixcoder_code_variable_renamer,
2 title={Context-Aware Variable Renaming for Obfuscated Code using aixcoder},
3 author={Your Name},
4 year={2026},
5 url={https://huggingface.co/Neo111x/aixcoder-renaming}
6}