chunk_content: for training. Specify the task in PrefixTuningConfig, create the base t5-large model from AutoModelForSeq2SeqLM, and then wrap the model and configuration in a PeftModel. Feel free to print the PeftModel’s parameters and compare it to fully training all the model parameters to see how much more efficient it is!
  
  
  	Copied
  peft_config = PrefixTuningConfig(task_type=TaskType.SEQ_2_SEQ_LM, inference_mode=False, num_virtual_tokens=20)
  
  model = AutoM