| 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 |