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Update HubertModelIntegrationTest.test_inference_keyword_spotting (#20863)

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fix ci

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar 2022-12-21 18:40:14 +01:00 committed by GitHub
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tests/models/hubert/test_modeling_hubert.py
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@ -802,7 +802,7 @@ class HubertModelIntegrationTest(unittest.TestCase):
expected_logits = torch.tensor([7.6692, 17.7795, 11.1562, 11.8232], dtype=torch.float16, device=torch_device)
self.assertListEqual(predicted_ids.tolist(), expected_labels)
self.assertTrue(torch.allclose(predicted_logits, expected_logits, atol=2e-2))
self.assertTrue(torch.allclose(predicted_logits, expected_logits, atol=3e-2))
def test_inference_intent_classification(self):
model = HubertForSequenceClassification.from_pretrained(