docstr: Only load the model if needed.
docstr_tok: ["Only","load","the","model","if","needed","."]
code: def model(self):
      """Only load the model if needed."""
      model = MBartForConditionalGeneration.from_pretrained(
          self.checkpoint_name
      ).to(torch_device)
      if "cuda" in torch_device:
          model = model.half()
      return model
  
imports: import copy
  import tempfile
  import unittest
  from transformers import MBartConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, require_torch_fp16, 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, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the AbstractSeq2SeqIntegrationTest obj's underlying member method code with example usage: obj.model() and returns: model