code: def model(self):
      return GPTNeoForCausalLM.from_pretrained(
          "EleutherAI/gpt-neo-1.3B"
      ).to(torch_device)
  
imports: import unittest
  from transformers import GPTNeoConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the GPTNeoModelLanguageGenerationTest obj's underlying member method code with example usage: obj.model() and returns: GPTNeoForCausalLM