ensure compatibility with `PretrainedModel`

florence2_implementation/modeling_florence2.py

@@ -632,6 +632,10 @@ class DaViT(nn.Module):
         elif isinstance(m, nn.BatchNorm2d):
             nn.init.constant_(m.weight, 1.0)
             nn.init.constant_(m.bias, 0)
+        
+    def _initialize_weights(self, m):
+        """For compatibility with PretrainedModel"""
+        self._init_weights(m)
 
     def forward_features_unpool(self, x):
         """