def METHOD_NAME(self):
    model = FlaxRobertaPreLayerNormForMaskedLM.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]
    expected_shape = [1, 11, 50265]
    self.assertEqual(list(output.shape), expected_shape)
    # compare the actual values for a slice.
    EXPECTED_SLICE = np.array(
        [[[40.4880, 18.0199, -5.2367], [-1.8877, -4.0885, 10.7085], [-2.2613, -5.6110, 7.2665]]], dtype=np.float32
    )
    self.assertTrue(np.allclose(output[:, :3, :3], EXPECTED_SLICE, atol=1e-4))