chunk_content: 6,
  ...     "target_modules": ["query", "value"],
  ...     "lora_alpha": 32,
  ...     "lora_dropout": 0.05,
  ...     "fan_in_fan_out": False,
  ...     "bias": "none",
  ... }
  
  >>> peft_config = get_peft_config(config)
  >>> model = AutoModelForQuestionAnswering.from_pretrained("bert-base-cased")
  >>> peft_model = PeftModelForQuestionAnswering(model, peft_config)
  >>> peft_model.print_trainable_parameters()
  trainable params: 592900 || all params: 108312580