code: def test_model_from_pretrained(self):
      for model_class_name in self.all_model_classes:
          model = model_class_name.from_pretrained(
              "andreasmadsen/efficient_mlm_m0.40", from_pt=True
          )
          outputs = model(np.ones((1, 1)))
          self.assertIsNotNone(outputs)
  
file_path: transformers/tests/models/roberta_prelayernorm/test_modeling_flax_roberta_prelayernorm.py
imports: import unittest
  import numpy
  from transformers import RobertaPreLayerNormConfig, is_flax_available
  from transformers.testing_utils import require_flax, slow
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 2 for calling the FlaxRobertaPreLayerNormModelTest obj's underlying member method code with example usage: obj.test_model_from_pretrained() without return types