code: def test_generation_librispeech(self):
      model = Speech2TextForConditionalGeneration.from_pretrained(
          "facebook/s2t-small-librispeech-asr"
      )
      model.to(torch_device)
      processor = self.default_processor
  
      input_speech = self._load_datasamples(1)
  
      input_features = processor(
          input_speech, return_tensors="pt"
      ).input_features.to(torch_device)
  
      generated_ids = model.generate(input_features)
      generated_transcript = processor.batch_decode(
          generated_ids, skip_special_tokens=True
      )
  
      EXPECTED_TRANSCRIPTIONS = [
          "mister quilter is the apostle of the middle classes and we are glad to welcome his gospel"
      ]
      self.assertListEqual(
          generated_transcript, EXPECTED_TRANSCRIPTIONS
      )
  
imports: import copy
  import inspect
  import os
  import tempfile
  import unittest
  from transformers import Speech2TextConfig
  from transformers.testing_utils import is_torch_available, require_sentencepiece, require_tokenizers, require_torch, require_torch_fp16, require_torchaudio, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the Speech2TextModelIntegrationTests obj's underlying member method code with example usage: obj.test_generation_librispeech() without return types