code: def init_adapters(self, model_config, adapters_config):
      # Wrap layers for LoRA
      self.fc_in = LoRALinear.wrap(
          self.fc_in, "intermediate", model_config, adapters_config
      )
      self.fc_out = LoRALinear.wrap(
          self.fc_out, "output", model_config, adapters_config
      )
  
file_path: adapters/src/adapters/models/gptj/mixin_gptj.py
imports: from typing import Iterable, Tuple
  import torch.nn
  from ...methods.bottleneck import BottleneckLayer
  from ...methods.lora import LoRALinear
  from ...methods.prefix_tuning import PrefixTuningLayer
  from ...model_mixin import EmbeddingAdaptersMixin, InvertibleAdaptersMixin, ModelBaseAdaptersMixin
label_desc: Use image node_id 1 for calling the GPTJMLPAdaptersMixin obj's underlying member method code with example usage: obj.init_adapters(model_config, adapters_config) without return types