Fix bad tensor shape in failing Hubert test. (#39502)

Fix bad tensor shape in Hubert test.

tests/models/hubert/test_modeling_hubert.py

@@ -961,20 +961,24 @@ class HubertModelIntegrationTest(unittest.TestCase):
         # vocab_size=500, deduplicate=False, need_f0=False)
         # model(wav)['dense']
         expected_outputs_first = torch.tensor(
+            [
                 [
                     [0.0267, 0.1776, -0.1706, -0.4559],
                     [-0.2430, -0.2943, -0.1864, -0.1187],
                     [-0.1812, -0.4239, -0.1916, -0.0858],
                     [-0.1495, -0.4758, -0.4036, 0.0302],
+                ]
             ],
             device=torch_device,
         )
         expected_outputs_last = torch.tensor(
+            [
                 [
                     [0.3366, -0.2734, -0.1415, -0.3055],
                     [0.2329, -0.3580, -0.1421, -0.3197],
                     [0.1631, -0.4301, -0.1965, -0.2956],
                     [0.3342, -0.2185, -0.2253, -0.2363],
+                ]
             ],
             device=torch_device,
         )