Repository: huggingface/transformers
Pull request: fixed typo.

# What does this PR do?

Follow pr : [quicky ](https://github.com/huggingface/transformers/commit/d6b3c7486b441296366f788fde57109337f63bca)

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Fixes # (issue)


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Changed files:
filename: src/transformers/generation/logits_process.py
patch: @@ -1102,7 +1102,7 @@ def __init__(self, sequence_bias: List[List[Union[List[int], float]]]):
         self._convert_list_arguments_into_dict()
 
         # Bias variables that will be populated on the first call (for retrocompatibility purposes, the vocabulary size
-        # is infered in the first usage, which inhibits initializing here)
+        # is inferred in the first usage, which inhibits initializing here)
         self.length_1_bias = None
         self.prepared_bias_variables = False
 

filename: src/transformers/generation/tf_utils.py
patch: @@ -483,7 +483,7 @@ def compute_transition_scores(
     ) -> tf.Tensor:
         """
         Computes the transition scores of sequences given the generation scores (and beam indices, if beam search was
-        used). This is a convenient method to quicky obtain the scores of the selected tokens at generation time.
+        used). This is a convenient method to quickly obtain the scores of the selected tokens at generation time.
 
         Parameters:
             sequences (`tf.Tensor`):