Black 20 release
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@@ -33,7 +33,8 @@ class TFCamembertModelIntegrationTest(unittest.TestCase):
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model = TFCamembertModel.from_pretrained("jplu/tf-camembert-base")
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input_ids = tf.convert_to_tensor(
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[[5, 121, 11, 660, 16, 730, 25543, 110, 83, 6]], dtype=tf.int32,
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[[5, 121, 11, 660, 16, 730, 25543, 110, 83, 6]],
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dtype=tf.int32,
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) # J'aime le camembert !"
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output = model(input_ids)["last_hidden_state"]
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@@ -41,7 +42,8 @@ class TFCamembertModelIntegrationTest(unittest.TestCase):
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self.assertEqual(output.shape, expected_shape)
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# compare the actual values for a slice.
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expected_slice = tf.convert_to_tensor(
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[[[-0.0254, 0.0235, 0.1027], [0.0606, -0.1811, -0.0418], [-0.1561, -0.1127, 0.2687]]], dtype=tf.float32,
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[[[-0.0254, 0.0235, 0.1027], [0.0606, -0.1811, -0.0418], [-0.1561, -0.1127, 0.2687]]],
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dtype=tf.float32,
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)
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# camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
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# camembert.eval()
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