code: def get_config(self):
      return Speech2TextConfig(
          vocab_size=self.vocab_size,
          d_model=self.hidden_size,
          encoder_layers=self.num_hidden_layers,
          decoder_layers=self.num_hidden_layers,
          encoder_attention_heads=self.num_attention_heads,
          decoder_attention_heads=self.num_attention_heads,
          encoder_ffn_dim=self.intermediate_size,
          decoder_ffn_dim=self.intermediate_size,
          num_conv_layers=self.num_conv_layers,
          conv_kernel_sizes=self.conv_kernel_sizes,
          conv_channels=self.conv_channels,
          input_feat_per_channel=self.input_feat_per_channel,
          input_channels=self.input_channels,
          dropout=self.hidden_dropout_prob,
          attention_dropout=self.attention_probs_dropout_prob,
          max_position_embeddings=self.max_position_embeddings,
          max_source_positions=self.max_source_positions,
          max_target_positions=self.max_target_positions,
          eos_token_id=self.eos_token_id,
          bos_token_id=self.bos_token_id,
          pad_token_id=self.pad_token_id,
          scale_embedding=self.scale_embedding,
      )
  
imports: from __future__ import annotations
  import inspect
  import unittest
  from transformers import Speech2TextConfig
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
  from transformers.utils import cached_property, is_tf_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the TFSpeech2TextModelTester obj's underlying member method code with example usage: obj.get_config() and returns: Speech2TextConfig