Fix doc errors and typos across the board (#8139)

* Fix doc errors and typos across the board

* Fix a typo

* Fix the CI

* Fix more typos

* Fix CI

* More fixes

* Fix CI

* More fixes

* More fixes

src/transformers/generation_utils.py

@@ -29,20 +29,20 @@ logger = logging.get_logger(__name__)
 
 class GenerationMixin:
     """
-    A class contraining all of the functions supporting generation, to be used as a mixin in
-    :class:`~transfomers.PreTrainedModel`.
+    A class containing all of the functions supporting generation, to be used as a mixin in
+    :class:`~transformers.PreTrainedModel`.
     """
 
     def prepare_inputs_for_generation(self, input_ids, **kwargs):
         """
-        Implement in subclasses of :class:`~transfomers.PreTrainedModel` for custom behavior to prepare inputs in the
+        Implement in subclasses of :class:`~transformers.PreTrainedModel` for custom behavior to prepare inputs in the
         generate method.
         """
         return {"input_ids": input_ids}
 
     def adjust_logits_during_generation(self, logits, **kwargs):
         """
-        Implement in subclasses of :class:`~transfomers.PreTrainedModel` for custom behavior to adjust the logits in
+        Implement in subclasses of :class:`~transformers.PreTrainedModel` for custom behavior to adjust the logits in
         the generate method.
         """
         return logits
@@ -285,7 +285,7 @@ class GenerationMixin:
         )
 
         if input_ids is not None:
-            batch_size = input_ids.shape[0]  # overriden by the input batch_size
+            batch_size = input_ids.shape[0]  # overridden by the input batch_size
         else:
             batch_size = 1
 
@@ -533,7 +533,7 @@ class GenerationMixin:
     ):
         """
         Generate sequences for each example without beam search (num_beams == 1). All returned sequence are generated
-        independantly.
+        independently.
         """
         # length of generated sentences / unfinished sentences
         unfinished_sents = input_ids.new(batch_size).fill_(1)
@@ -600,7 +600,7 @@ class GenerationMixin:
                 # unfinished_sents is set to zero if eos in sentence
                 unfinished_sents.mul_((~eos_in_sents).long())
 
-            # stop when there is a </s> in each sentence, or if we exceed the maximul length
+            # stop when there is a </s> in each sentence, or if we exceed the maximum length
             if unfinished_sents.max() == 0:
                 break
 
@@ -724,7 +724,7 @@ class GenerationMixin:
             else:
                 next_scores = scores + beam_scores[:, None].expand_as(scores)  # (batch_size * num_beams, vocab_size)
 
-                # re-organize to group the beam together (we are keeping top hypothesis accross beams)
+                # re-organize to group the beam together (we are keeping top hypothesis across beams)
                 next_scores = next_scores.view(
                     batch_size, num_beams * vocab_size
                 )  # (batch_size, num_beams * vocab_size)
@@ -969,7 +969,7 @@ def top_k_top_p_filtering(
     min_tokens_to_keep: int = 1,
 ) -> Tensor:
     """
-    Filter a distribution of logits using top-k and/or nucleus (top-p) filterin
+    Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
 
     Args:
         logits: logits distribution shape (batch size, vocabulary size)