code: def __init__(self, config):
      super().__init__(config)
      self.config = config
  
      self.gpt_neox_japanese = GPTNeoXJapaneseModel(config)
      self.embed_out = nn.Linear(
          config.hidden_size, config.vocab_size, bias=False
      )
  
      # Initialize weights and apply final processing
      self.post_init()
  
imports: from typing import Optional, Tuple, Union
  import torch
  import torch.utils.checkpoint
  from torch import Tensor, nn
  from torch.nn import CrossEntropyLoss
  from ...activations import ACT2FN
  from ...file_utils import add_start_docstrings, add_start_docstrings_to_model_forward, replace_return_docstrings
  from ...modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast
  from ...modeling_utils import PreTrainedModel
  from ...utils import logging
  from .configuration_gpt_neox_japanese import GPTNeoXJapaneseConfig
label_desc: Use image node_id 1 to create a new GPTNeoXJapaneseForCausalLM object from inherited base classes: GPTNeoXJapanesePreTrainedModel with example: obj = GPTNeoXJapaneseForCausalLM(config)