code: def test_inference_no_head(self):
      model = FlaxRobertaPreLayerNormModel.from_pretrained(
          "andreasmadsen/efficient_mlm_m0.40", from_pt=True
      )
  
      input_ids = np.array(
          [[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]],
          dtype=jnp.int32,
      )
      output = model(input_ids)[0]
      # compare the actual values for a slice.
      EXPECTED_SLICE = np.array(
          [
              [
                  [0.0208, -0.0356, 0.0237],
                  [-0.1569, -0.0411, -0.2626],
                  [0.1879, 0.0125, -0.0089],
              ]
          ],
          dtype=np.float32,
      )
      self.assertTrue(
          np.allclose(output[:, :3, :3], EXPECTED_SLICE, atol=1e-4)
      )
  
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 TFRobertaPreLayerNormModelIntegrationTest obj's underlying member method code with example usage: obj.test_inference_no_head() without return types