fix: call post_init() in CSDModel.__init__ (transformers>=5 all_tied_weights_keys)

modeling_csd.py

@@ -130,6 +130,10 @@ class CSDModel(PreTrainedModel):
         )
         self.last_layer_style = nn.Parameter(torch.empty(config.width, config.embed_dim))
         self.last_layer_content = nn.Parameter(torch.empty(config.width, config.embed_dim))
+        # transformers>=5 sets weight-loading state (e.g. all_tied_weights_keys, read by
+        # from_pretrained) in PreTrainedModel.post_init(); call it so the load doesn't
+        # AttributeError. from_pretrained overwrites the freshly-inited weights afterward.
+        self.post_init()
 
     def forward(self, pixel_values: torch.Tensor) -> CSDOutput:
         _feature = self.backbone(pixel_values)