Update all references to canonical models (#29001)

* Script & Manual edition

* Update

tests/models/bert/test_modeling_bert.py

@@ -627,7 +627,7 @@ class BertModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
 class BertModelIntegrationTest(unittest.TestCase):
     @slow
     def test_inference_no_head_absolute_embedding(self):
-        model = BertModel.from_pretrained("bert-base-uncased")
+        model = BertModel.from_pretrained("google-bert/bert-base-uncased")
         input_ids = torch.tensor([[0, 345, 232, 328, 740, 140, 1695, 69, 6078, 1588, 2]])
         attention_mask = torch.tensor([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])
         with torch.no_grad():

tests/models/bert/test_modeling_flax_bert.py

@@ -158,6 +158,6 @@ class FlaxBertModelTest(FlaxModelTesterMixin, unittest.TestCase):
     def test_model_from_pretrained(self):
         # Only check this for base model, not necessary for all model classes.
         # This will also help speed-up tests.
-        model = FlaxBertModel.from_pretrained("bert-base-cased")
+        model = FlaxBertModel.from_pretrained("google-bert/bert-base-cased")
         outputs = model(np.ones((1, 1)))
         self.assertIsNotNone(outputs)

tests/models/bert/test_tokenization_bert.py

@@ -242,7 +242,7 @@ class BertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
 
     @slow
     def test_sequence_builders(self):
-        tokenizer = self.tokenizer_class.from_pretrained("bert-base-uncased")
+        tokenizer = self.tokenizer_class.from_pretrained("google-bert/bert-base-uncased")
 
         text = tokenizer.encode("sequence builders", add_special_tokens=False)
         text_2 = tokenizer.encode("multi-sequence build", add_special_tokens=False)

tests/models/bert/test_tokenization_bert_tf.py

@@ -16,7 +16,7 @@ if is_tensorflow_text_available():
     from transformers.models.bert import TFBertTokenizer
 
 
-TOKENIZER_CHECKPOINTS = ["bert-base-uncased", "bert-base-cased"]
+TOKENIZER_CHECKPOINTS = ["google-bert/bert-base-uncased", "google-bert/bert-base-cased"]
 TINY_MODEL_CHECKPOINT = "hf-internal-testing/tiny-bert-tf-only"
 
 if is_tf_available():