chunk_content: ase")
  >>> peft_model = PeftModelForSeq2SeqLM(model, peft_config)
  >>> peft_model.print_trainable_parameters()
  trainable params: 884736 || all params: 223843584 || trainable%: 0.3952474242013566
  
  PeftModelForQuestionAnswering
  	
  A PeftModel for question answering.
  
  class peft.PeftModelForQuestionAnswering
  
  <
  source
  >
  (
  model
  peft_config: PeftConfig = None
  adapter_name = 'default'
  
  )
  
  
  Parameters 
  
  model (PreTrainedModel) — Base transformer model.
  