Fix doc string nits (#23929)

huggingface · Jun 1, 2023 · af2c367 · af2c367
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diff --git a/src/transformers/configuration_utils.py b/src/transformers/configuration_utils.py
@@ -136,7 +136,7 @@ class PretrainedConfig(PushToHubMixin):
         diversity_penalty (`float`, *optional*, defaults to 0.0):
             Value to control diversity for group beam search. that will be used by default in the `generate` method of
             the model. 0 means no diversity penalty. The higher the penalty, the more diverse are the outputs.
-        temperature (`float`, *optional*, defaults to 1):
+        temperature (`float`, *optional*, defaults to 1.0):
             The value used to module the next token probabilities that will be used by default in the `generate` method
             of the model. Must be strictly positive.
         top_k (`int`, *optional*, defaults to 50):

diff --git a/src/transformers/models/vit/image_processing_vit.py b/src/transformers/models/vit/image_processing_vit.py
@@ -56,7 +56,7 @@ class ViTImageProcessor(BaseImageProcessor):
         rescale_factor (`int` or `float`, *optional*, defaults to `1/255`):
             Scale factor to use if rescaling the image. Can be overridden by the `rescale_factor` parameter in the
             `preprocess` method.
-        do_normalize:
+        do_normalize (`bool`, *optional*, defaults to `True`):
             Whether to normalize the image. Can be overridden by the `do_normalize` parameter in the `preprocess`
             method.
         image_mean (`float` or `List[float]`, *optional*, defaults to `IMAGENET_STANDARD_MEAN`):