chunk_content: num_attention_heads": 12,
  ...     "num_layers": 12,
  ...     "encoder_hidden_size": 768,
  ...     "prefix_projection": False,
  ...     "postprocess_past_key_value_function": None,
  ... }
  
  >>> peft_config = get_peft_config(config)
  >>> model = AutoModelForTokenClassification.from_pretrained("bert-base-cased")
  >>> peft_model = PeftModelForTokenClassification(model, peft_config)
  >>> peft_model.print_trainable_parameters()
  trainable params: 370178 || al