chunk_content: n": False,
  ...     "postprocess_past_key_value_function": None,
  ... }
  
  >>> peft_config = get_peft_config(config)
  >>> model = AutoModelForSequenceClassification.from_pretrained("bert-base-cased")
  >>> peft_model = PeftModelForSequenceClassification(model, peft_config)
  >>> peft_model.print_trainable_parameters()
  trainable params: 370178 || all params: 108680450 || trainable%: 0.3406113979101117
  
  PeftModelForTokenClassification
  	
  A PeftModel for to