code: def test_model_from_pretrained(self):
      # Only check this for base model, not necessary for all model classes.
      # This will also help speed-up tests.
      model = FlaxBertModel.from_pretrained("bert-base-cased")
      outputs = model(np.ones((1, 1)))
      self.assertIsNotNone(outputs)
  
file_path: transformers/tests/models/bert/test_modeling_flax_bert.py
imports: import unittest
  import numpy
  from transformers import BertConfig, 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 FlaxBertModelTest obj's underlying member method code with example usage: obj.test_model_from_pretrained() without return types