code: def test_tiny_generation(self):
      set_seed(0)
      processor = WhisperProcessor.from_pretrained(
          "openai/whisper-tiny"
      )
      model = TFWhisperForConditionalGeneration.from_pretrained(
          "openai/whisper-tiny"
      )
  
      input_speech = self._load_datasamples(1)
      input_features = processor.feature_extractor(
          raw_speech=input_speech, return_tensors="tf"
      ).input_features
  
      generated_ids = model.generate(
          input_features, num_beams=5, max_length=20
      )
      transcript = processor.tokenizer.decode(generated_ids[0])
  
      EXPECTED_TRANSCRIPT = (
          "<|startoftranscript|><|en|><|transcribe|><|notimestamps|> Mr. Quilter is the apostle of the middle"
          " classes and we are glad"
      )
      self.assertEqual(transcript, EXPECTED_TRANSCRIPT)
  
imports: import inspect
  import os
  import tempfile
  import traceback
  import unittest
  import numpy
  from transformers import WhisperConfig, WhisperFeatureExtractor, WhisperProcessor
  from transformers.testing_utils import is_tf_available, require_tf, require_tokenizers, run_test_in_subprocess, slow
  from transformers.utils import cached_property
  from transformers.utils.import_utils import is_datasets_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 7 for calling the TFWhisperModelIntegrationTests obj's underlying member method code with example usage: obj.test_tiny_generation() without return types