Random fixes.

keras_nlp/models/task.py

@@ -300,16 +300,15 @@ def from_preset(
         if load_weights:
             task.load_weights(get_file(preset, TASK_WEIGHTS_FILE))
             task.backbone.load_weights(get_file(preset, MODEL_WEIGHTS_FILE))
-        # TODO: is task.preprocessor None before this assignment?
+        # `task.preprocessor` is None before this assignment.
         task.preprocessor = preprocessor
         return task
 
-    def load_weights(self, filepath, skip_mismatch=False):
+    def load_weights(self, filepath):
         """Load only the tasks specific weights not in the backbone."""
         if not str(filepath).endswith(".weights.h5"):
             raise ValueError(
-                "The filename must end in `.weights.h5`. "
-                f"Received: filepath={filepath}"
+                "The filename must end in `.weights.h5`. Received: filepath={filepath}"
             )
         backbone_layer_ids = set(id(w) for w in self.backbone._flatten_layers())
         keras.saving.save_weights(