Doc fixes in preparation for the docstyle PR (#8061)

* Fixes in preparation for doc styling

* More fixes

* Better syntax

* Fixes

* Style

* More fixes

* More fixes

docs/source/model_doc/bertgeneration.rst

@@ -47,7 +47,7 @@ Usage:
 - Pretrained :class:`~transformers.EncoderDecoderModel` are also directly available in the model hub, e.g.,
 
 
-:: code-block
+.. code-block::
 
   # instantiate sentence fusion model
   sentence_fuser = EncoderDecoderModel.from_pretrained("google/roberta2roberta_L-24_discofuse")

docs/source/model_doc/blenderbot.rst

@@ -28,7 +28,9 @@ Implementation Notes
 Usage
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-Model Usage:
+Here is an example of model usage:
+
+.. code-block::
 
         >>> from transformers import BlenderbotSmallTokenizer, BlenderbotForConditionalGeneration
         >>> mname = 'facebook/blenderbot-90M'
@@ -40,7 +42,10 @@ Model Usage:
         >>> print([tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=False) for g in reply_ids])
 
 
-See Config Values:
+Here is how you can check out config values:
+
+.. code-block::
+
 
         >>> from transformers import BlenderbotConfig
         >>> config_90 = BlenderbotConfig.from_pretrained("facebook/blenderbot-90M")

docs/source/model_doc/gpt.rst

@@ -45,6 +45,8 @@ Note:
 If you want to reproduce the original tokenization process of the `OpenAI GPT` paper, you will need to install 
 ``ftfy`` and ``SpaCy``::
 
+.. code-block:: bash
+
     pip install spacy ftfy==4.4.3
     python -m spacy download en