code: def test_small_generation(self):
      model = FlaxT5ForConditionalGeneration.from_pretrained("t5-small")
      model.config.max_length = 8
      model.config.num_beams = 1
      model.config.do_sample = False
      tokenizer = T5Tokenizer.from_pretrained("t5-small")
  
      input_ids = tokenizer(
          "summarize: Hello there", return_tensors="np"
      ).input_ids
  
      sequences = model.generate(input_ids).sequences
  
      output_str = tokenizer.batch_decode(
          sequences, skip_special_tokens=True
      )[0]
      self.assertTrue(output_str == "Hello there!")
  
imports: import tempfile
  import unittest
  import numpy
  import transformers
  from transformers import is_flax_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, require_sentencepiece, require_tokenizers, slow
  from ...generation.test_flax_utils import FlaxGenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor
label_desc: Use image node_id 4 for calling the FlaxT5ModelIntegrationTests obj's underlying member method code with example usage: obj.test_small_generation() without return types