def METHOD_NAME(self):
    model = FlaxDistilBertModel.from_pretrained("distilbert-base-uncased")
    input_ids = np.array([[0, 345, 232, 328, 740, 140, 1695, 69, 6078, 1588, 2]])
    attention_mask = np.array([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])
    output = model(input_ids, attention_mask=attention_mask)[0]
    expected_shape = (1, 11, 768)
    self.assertEqual(output.shape, expected_shape)
    expected_slice = np.array([[[-0.1639, 0.3299, 0.1648], [-0.1746, 0.3289, 0.1710], [-0.1884, 0.3357, 0.1810]]])
    self.assertTrue(jnp.allclose(output[:, 1:4, 1:4], expected_slice, atol=1e-4))