Indent code block in the documentation (#11233)

* Indent code block

* Indent code blocks version 2

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docs/source/model_doc/t5.rst

@@ -73,10 +73,10 @@ token. T5 can be trained / fine-tuned both in a supervised and unsupervised fash
 
 .. code-block::
 
-  input_ids = tokenizer('The <extra_id_0> walks in <extra_id_1> park', return_tensors='pt').input_ids
-  labels = tokenizer('<extra_id_0> cute dog <extra_id_1> the <extra_id_2>', return_tensors='pt').input_ids
-  # the forward function automatically creates the correct decoder_input_ids
-  loss = model(input_ids=input_ids, labels=labels).loss
+    input_ids = tokenizer('The <extra_id_0> walks in <extra_id_1> park', return_tensors='pt').input_ids
+    labels = tokenizer('<extra_id_0> cute dog <extra_id_1> the <extra_id_2>', return_tensors='pt').input_ids
+    # the forward function automatically creates the correct decoder_input_ids
+    loss = model(input_ids=input_ids, labels=labels).loss
 
 - Supervised training
 
@@ -86,10 +86,10 @@ token. T5 can be trained / fine-tuned both in a supervised and unsupervised fash
 
 .. code-block::
 
-  input_ids = tokenizer('translate English to German: The house is wonderful.', return_tensors='pt').input_ids
-  labels = tokenizer('Das Haus ist wunderbar.', return_tensors='pt').input_ids
-  # the forward function automatically creates the correct decoder_input_ids
-  loss = model(input_ids=input_ids, labels=labels).loss
+    input_ids = tokenizer('translate English to German: The house is wonderful.', return_tensors='pt').input_ids
+    labels = tokenizer('Das Haus ist wunderbar.', return_tensors='pt').input_ids
+    # the forward function automatically creates the correct decoder_input_ids
+    loss = model(input_ids=input_ids, labels=labels).loss
 
 
 T5Config