code: def _get_beam_search_test_objects(self):
      model = TFGPTJForCausalLM.from_pretrained(
          "EleutherAI/gpt-j-6B", revision="float16", from_pt=True
      )
      tokenizer = AutoTokenizer.from_pretrained(
          "EleutherAI/gpt-j-6B", revision="float16"
      )
  
      tokenizer.padding_side = "left"
  
      # Define PAD Token = EOS Token = 50256
      tokenizer.pad_token = tokenizer.eos_token
      model.config.pad_token_id = model.config.eos_token_id
  
      # use different length sentences to test batching
      sentences = [
          "Hello, my dog is a little",
          "Today, I",
      ]
      expected_output_sentences = [
          "Hello, my dog is a little over a year old and has been diagnosed with hip dysplasia",
          "Today, I’m going to be talking about a topic that’",
      ]
      return model, tokenizer, sentences, expected_output_sentences
  
imports: import unittest
  from transformers import AutoTokenizer, GPTJConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow, tooslow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
label_desc: Use image node_id 3 for calling the TFGPTJModelLanguageGenerationTest obj's underlying member method code with example usage: obj._get_beam_search_test_objects() and returns: model,  tokenizer,  sentences,  expected_output_sentences