code: def test_greedy_generate(self):
      model = TFT5ForConditionalGeneration.from_pretrained("t5-small")
      tokenizer = T5Tokenizer.from_pretrained("t5-small")
  
      sentences = [
          "Yesterday, my name was",
          "Today is a beautiful day and",
      ]
      input_ids = tokenizer(
          sentences, return_tensors="tf", padding=True
      ).input_ids
  
      generation_kwargs = {
          "bad_words_ids": [
              tokenizer("my").input_ids,
              tokenizer("ein schöner").input_ids,
          ],
          "no_repeat_ngram_size": 3,
          "do_sample": False,
          "repetition_penalty": 2.2,
      }
  
      output_ids = model.generate(input_ids, **generation_kwargs)
  
      output_strings = tokenizer.batch_decode(
          output_ids, skip_special_tokens=True
      )
  
      expected_output_string = [
          "Yesterday, my name was",
          "Heute ist ein schöne Tag und",
      ]
  
      self.assertListEqual(expected_output_string, output_strings)
  
imports: from __future__ import annotations
  import unittest
  from transformers import T5Config, is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the TFT5GenerationIntegrationTests obj's underlying member method code with example usage: obj.test_greedy_generate() without return types