code: def __init__(self, config: Speech2TextConfig):
      super().__init__(config)
  
      self.encoder = Speech2TextEncoder(config)
      self.decoder = Speech2TextDecoder(config)
  
      # Initialize weights and apply final processing
      self.post_init()
  
imports: import math
  from typing import Optional, Tuple, Union
  import torch
  from torch import nn
  from torch.nn import CrossEntropyLoss
  from ...activations import ACT2FN
  from ...modeling_attn_mask_utils import _prepare_4d_attention_mask, _prepare_4d_causal_attention_mask
  from ...modeling_outputs import BaseModelOutput, BaseModelOutputWithPastAndCrossAttentions, Seq2SeqLMOutput, Seq2SeqModelOutput
  from ...modeling_utils import PreTrainedModel
  from ...utils import add_start_docstrings, add_start_docstrings_to_model_forward, logging, replace_return_docstrings
  from .configuration_speech_to_text import Speech2TextConfig
label_desc: Use image node_id 1 to create a new Speech2TextModel object from inherited base classes: Speech2TextPreTrainedModel with example: obj = Speech2TextModel(config)