code: def test_gptj_sample(self):
      tokenizer = AutoTokenizer.from_pretrained(
          "EleutherAI/gpt-j-6B", revision="float16"
      )
      model = TFGPTJForCausalLM.from_pretrained(
          "EleutherAI/gpt-j-6B", revision="float16", from_pt=True
      )
  
      tokenized = tokenizer(
          "Today is a nice day and", return_tensors="tf"
      )
      # forces the generation to happen on CPU, to avoid GPU-related quirks
      with tf.device(":/CPU:0"):
          output_ids = model.generate(
              **tokenized, do_sample=True, seed=[42, 0]
          )
      output_str = tokenizer.decode(
          output_ids[0], skip_special_tokens=True
      )
  
      EXPECTED_OUTPUT_STR = (
          "Today is a nice day and I’m going to go for a walk. I’"
      )
      self.assertEqual(output_str, EXPECTED_OUTPUT_STR)
  
imports: from __future__ import annotations
  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 ...test_pipeline_mixin import PipelineTesterMixin
  from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
label_desc: Use image node_id 2 for calling the TFGPTJModelLanguageGenerationTest obj's underlying member method code with example usage: obj.test_gptj_sample() without return types