code: def test_transformer_model_arguments_init(self):
      model_args = TransformerModelArguments("bert-base-uncased")
      self.assertEqual("bert-base-uncased", model_args.model)
      self.assertEqual("bert-base-uncased", model_args.config)
      self.assertEqual("bert-base-uncased", model_args.tokenizer)
      self.assertIsNotNone(model_args.model_loading_strategy)
      self.assertEqual(
          ModelLoadingStrategy.DEFAULT,
          model_args.model_loading_strategy,
      )
  
imports: import unittest
  import pytest
  import numpy
  from unittest.mock import patch
  from small_text.base import LABEL_UNLABELED
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from small_text.training.early_stopping import EarlyStopping, EarlyStoppingOrCondition
  from small_text.training.metrics import Metric
  from small_text.utils.logging import VERBOSITY_MORE_VERBOSE
label_desc: Use image node_id 1 for calling the TestTransformerModelArguments obj's underlying member method code with example usage: obj.test_transformer_model_arguments_init() without return types