Fix quality and repo consistency

docs/source/en/serialization.mdx

@@ -68,7 +68,7 @@ Ready-made configurations include the following architectures:
 - M2M100
 - Marian
 - mBART
-- MobileBert
+- MobileBERT
 - OpenAI GPT-2
 - PLBart
 - RoBERTa

src/transformers/__init__.py

@@ -1793,12 +1793,12 @@ if is_tf_available():
             "TFAutoModelForImageClassification",
             "TFAutoModelForMaskedLM",
             "TFAutoModelForMultipleChoice",
+            "TFAutoModelForNextSentencePrediction",
             "TFAutoModelForPreTraining",
             "TFAutoModelForQuestionAnswering",
             "TFAutoModelForSeq2SeqLM",
             "TFAutoModelForSequenceClassification",
             "TFAutoModelForSpeechSeq2Seq",
-            "TFAutoModelForNextSentencePrediction",
             "TFAutoModelForTableQuestionAnswering",
             "TFAutoModelForTokenClassification",
             "TFAutoModelForVision2Seq",

src/transformers/models/auto/__init__.py

@@ -103,12 +103,12 @@ if is_tf_available():
         "TFAutoModelForImageClassification",
         "TFAutoModelForMaskedLM",
         "TFAutoModelForMultipleChoice",
+        "TFAutoModelForNextSentencePrediction",
         "TFAutoModelForPreTraining",
         "TFAutoModelForQuestionAnswering",
         "TFAutoModelForSeq2SeqLM",
         "TFAutoModelForSequenceClassification",
         "TFAutoModelForSpeechSeq2Seq",
-        "TFAutoModelForNextSentencePrediction",
         "TFAutoModelForTableQuestionAnswering",
         "TFAutoModelForTokenClassification",
         "TFAutoModelForVision2Seq",

src/transformers/utils/dummy_tf_objects.py

@@ -335,6 +335,13 @@ class TFAutoModelForMultipleChoice(metaclass=DummyObject):
         requires_backends(self, ["tf"])
 
 
+class TFAutoModelForNextSentencePrediction(metaclass=DummyObject):
+    _backends = ["tf"]
+
+    def __init__(self, *args, **kwargs):
+        requires_backends(self, ["tf"])
+
+
 class TFAutoModelForPreTraining(metaclass=DummyObject):
     _backends = ["tf"]