diff --git a/torchvision/transforms/functional.py b/torchvision/transforms/functional.py
index 1676aa2b744..5760642c780 100644
--- a/torchvision/transforms/functional.py
+++ b/torchvision/transforms/functional.py
@@ -424,10 +424,10 @@ def resize(
             The corresponding Pillow integer constants, e.g. ``PIL.Image.BILINEAR`` are accepted as well.
         max_size (int, optional): The maximum allowed for the longer edge of
             the resized image. If the longer edge of the image is greater
-            than ``max_size`` after being resized according to ``size``, 
+            than ``max_size`` after being resized according to ``size``,
             ``size`` will be overruled so that the longer edge is equal to
             ``max_size``.
-            As a result, the smaller edge may be shorter than ``size``. This 
+            As a result, the smaller edge may be shorter than ``size``. This
             is only supported if ``size`` is an int (or a sequence of length
             1 in torchscript mode).
         antialias (bool, optional): Whether to apply antialiasing.
diff --git a/torchvision/transforms/transforms.py b/torchvision/transforms/transforms.py
index 1edf772bc8f..d0290f93249 100644
--- a/torchvision/transforms/transforms.py
+++ b/torchvision/transforms/transforms.py
@@ -308,10 +308,10 @@ class Resize(torch.nn.Module):
             The corresponding Pillow integer constants, e.g. ``PIL.Image.BILINEAR`` are accepted as well.
         max_size (int, optional): The maximum allowed for the longer edge of
             the resized image. If the longer edge of the image is greater
-            than ``max_size`` after being resized according to ``size``, 
+            than ``max_size`` after being resized according to ``size``,
             ``size`` will be overruled so that the longer edge is equal to
             ``max_size``.
-            As a result, the smaller edge may be shorter than ``size``. This 
+            As a result, the smaller edge may be shorter than ``size``. This
             is only supported if ``size`` is an int (or a sequence of length
             1 in torchscript mode).
         antialias (bool, optional): Whether to apply antialiasing.
diff --git a/torchvision/transforms/v2/_geometry.py b/torchvision/transforms/v2/_geometry.py
index 1a52816394d..731d768c2a6 100644
--- a/torchvision/transforms/v2/_geometry.py
+++ b/torchvision/transforms/v2/_geometry.py
@@ -98,10 +98,10 @@ class Resize(Transform):
             The corresponding Pillow integer constants, e.g. ``PIL.Image.BILINEAR`` are accepted as well.
         max_size (int, optional): The maximum allowed for the longer edge of
             the resized image. If the longer edge of the image is greater
-            than ``max_size`` after being resized according to ``size``, 
+            than ``max_size`` after being resized according to ``size``,
             ``size`` will be overruled so that the longer edge is equal to
             ``max_size``.
-            As a result, the smaller edge may be shorter than ``size``. This 
+            As a result, the smaller edge may be shorter than ``size``. This
             is only supported if ``size`` is an int (or a sequence of length
             1 in torchscript mode).
         antialias (bool, optional): Whether to apply antialiasing.