code: def model(self):
      model = BlenderbotSmallForConditionalGeneration.from_pretrained(
          self.ckpt
      ).to(torch_device)
      if torch_device == "cuda":
          model = model.half()
      return model
  
imports: import tempfile
  import unittest
  from transformers import BlenderbotSmallConfig, is_torch_available
  from transformers.testing_utils import 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 1 for calling the Blenderbot90MIntegrationTests obj's underlying member method code with example usage: obj.model() and returns: model