from transformers import DataCollatorForSeq2Seq,LogitsProcessor,LogitsProcessorList, AutoModelForCausalLM
import torch

class ConstrainedQwenModel(AutoModelForCausalLM):
    def generate(self, *args, **kwargs):
        if "logits_processor" not in kwargs:
            kwargs["logits_processor"] = LogitsProcessorList()
        
        kwargs["logits_processor"].append(
            LogitsProcessor(self.tokenizer)
        )
        
        return super().generate(*args, **kwargs)

if __name__ == '__main__':
    pass