code: def test_from_identifier_from_model_type(self):
      model = TFAutoModelWithLMHead.from_pretrained(
          DUMMY_UNKNOWN_IDENTIFIER, from_pt=True
      )
      self.assertIsInstance(model, TFRobertaForMaskedLM)
      self.assertEqual(model.num_parameters(), 14410)
      self.assertEqual(model.num_parameters(only_trainable=True), 14410)
  
      model = AutoModelWithLMHead.from_pretrained(
          DUMMY_UNKNOWN_IDENTIFIER, from_tf=True
      )
      self.assertIsInstance(model, RobertaForMaskedLM)
      self.assertEqual(model.num_parameters(), 14410)
      self.assertEqual(model.num_parameters(only_trainable=True), 14410)
  
file_path: transformers/tests/models/auto/test_modeling_tf_pytorch.py
imports: from __future__ import annotations
  import unittest
  from transformers import is_tf_available, is_torch_available
  from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, is_pt_tf_cross_test, slow
label_desc: Use image node_id 10 for calling the TFPTAutoModelTest obj's underlying member method code with example usage: obj.test_from_identifier_from_model_type() without return types