fix: override mark_tied_weights_as_initialized to skip BN buffer get_parameter

modeling_rtmdet.py

@@ -1758,10 +1758,13 @@ class RTMDetModel(PreTrainedModel):
     config_class = RTMDetConfig
     base_model_prefix = "rtmdet"
     main_input_name = "pixel_values"
-    # share_conv aliases BN modules across strides; disable tied-weights
-    # machinery so transformers doesn't try get_parameter() on BN buffers.
+    # share_conv aliases BN modules across strides; override tied-weights
+    # method so transformers never calls get_parameter() on BN buffers.
     _tied_weights_keys = None
-    
+
+    def mark_tied_weights_as_initialized(self):
+        pass  # share_conv makes BN buffers look tied — skip to avoid AttributeError
+
     def __init__(self, config):
         super().__init__(config)