code: def test_transformer_model_arguments_init_with_model_loading_strategy(
      self,
  ):
      tokenizer = "/path/to/tokenizer/"
      config = "/path/to/config/"
      model_loading_strategy = ModelLoadingStrategy.ALWAYS_LOCAL
      model_args = TransformerModelArguments(
          "bert-base-uncased",
          tokenizer=tokenizer,
          config=config,
          model_loading_strategy=model_loading_strategy,
      )
      self.assertEqual("bert-base-uncased", model_args.model)
      self.assertEqual(config, model_args.config)
      self.assertEqual(tokenizer, model_args.tokenizer)
      self.assertIsNotNone(model_args.model_loading_strategy)
      self.assertEqual(
          model_loading_strategy, 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 3 for calling the TestTransformerModelArguments obj's underlying member method code with example usage: obj.test_transformer_model_arguments_init_with_model_loading_strategy() without return types