[keras/applications] Remove as these docstrings aren't interpolated

Author: SamuelMarks

keras/applications/convnext.py

@@ -756,7 +756,7 @@ def preprocess_input(x, data_format=None):
       x: A floating point `numpy.array` or a `tf.Tensor`.
       data_format: Optional data format of the image tensor/array. `None` means
         the global setting `tf.keras.backend.image_data_format()` is used
-        (unless you changed it, it uses "channels_last").{mode}.
+        (unless you changed it, it uses "channels_last").
         Defaults to `None`.
 
     Returns:

keras/applications/efficientnet.py

@@ -854,7 +854,7 @@ def preprocess_input(x, data_format=None):
       x: A floating point `numpy.array` or a `tf.Tensor`.
       data_format: Optional data format of the image tensor/array. `None` means
         the global setting `tf.keras.backend.image_data_format()` is used
-        (unless you changed it, it uses "channels_last").{mode}.
+        (unless you changed it, it uses "channels_last").
         Defaults to `None`.
 
     Returns:

keras/applications/efficientnet_v2.py

@@ -1345,7 +1345,7 @@ def preprocess_input(x, data_format=None):
       x: A floating point `numpy.array` or a `tf.Tensor`.
       data_format: Optional data format of the image tensor/array. `None` means
         the global setting `tf.keras.backend.image_data_format()` is used
-        (unless you changed it, it uses "channels_last").{mode}.
+        (unless you changed it, it uses "channels_last").
         Defaults to `None`.
 
     Returns:

keras/applications/regnet.py

@@ -1821,7 +1821,7 @@ def preprocess_input(x, data_format=None):
       x: A floating point `numpy.array` or a `tf.Tensor`.
       data_format: Optional data format of the image tensor/array. `None` means
         the global setting `tf.keras.backend.image_data_format()` is used
-        (unless you changed it, it uses "channels_last").{mode}.
+        (unless you changed it, it uses "channels_last").
         Defaults to `None`.
 
     Returns:

keras/applications/resnet_rs.py

@@ -961,7 +961,7 @@ def preprocess_input(x, data_format=None):
       x: A floating point `numpy.array` or a `tf.Tensor`.
       data_format: Optional data format of the image tensor/array. `None` means
         the global setting `tf.keras.backend.image_data_format()` is used
-        (unless you changed it, it uses "channels_last").{mode}.
+        (unless you changed it, it uses "channels_last").
         Defaults to `None`.
 
     Returns: