Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

vllm/model_executor/models/qwen2_rm.py

@@ -8,7 +8,6 @@
 """Inference-only Qwen2-RM model compatible with HuggingFace weights."""
 
 from collections.abc import Iterable
-from typing import Optional, Union
 
 import torch
 from torch import nn
@@ -83,9 +82,9 @@ class Qwen2RewardBaseModel(nn.Module, SupportsLoRA, SupportsPP):
         self,
         input_ids: torch.Tensor,
         positions: torch.Tensor,
-        intermediate_tensors: Optional[IntermediateTensors] = None,
-        inputs_embeds: Optional[torch.Tensor] = None,
-    ) -> Union[torch.Tensor, IntermediateTensors]:
+        intermediate_tensors: IntermediateTensors | None = None,
+        inputs_embeds: torch.Tensor | None = None,
+    ) -> torch.Tensor | IntermediateTensors:
         hidden_states = self.model(
             input_ids, positions, intermediate_tensors, inputs_embeds
         )