code: def __init__(self, config: FuyuConfig):
      super().__init__(config)
      self.padding_idx = config.pad_token_id
      self.vocab_size = config.vocab_size
      self.language_model = AutoModelForCausalLM.from_config(
          config.text_config
      )
  
      self.vision_embed_tokens = nn.Linear(
          config.patch_size * config.patch_size * config.num_channels,
          config.hidden_size,
      )
  
      self.gradient_checkpointing = False
      # Initialize weights and apply final processing
      self.post_init()
  
file_path: transformers/src/transformers/models/fuyu/modeling_fuyu.py
imports: from typing import List, Optional, Tuple, Union
  import torch
  import torch.utils.checkpoint
  from torch import nn
  from ...modeling_outputs import CausalLMOutputWithPast
  from ...modeling_utils import PreTrainedModel
  from ...models.auto.modeling_auto import AutoModelForCausalLM
  from ...utils import add_start_docstrings, add_start_docstrings_to_model_forward, logging, replace_return_docstrings
  from .configuration_fuyu import FuyuConfig
label_desc: Use image node_id 1 to create a new FuyuForCausalLM object from inherited base classes: FuyuPreTrainedModel with example: obj = FuyuForCausalLM(config)