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modeling_esm_plusplus.py

@@ -990,6 +990,11 @@ class PreTrainedESMplusplusModel(PreTrainedModel):
     supports_gradient_checkpointing = True
     all_tied_weights_keys = {}
 
+    @classmethod
+    def is_remote_code(cls) -> bool:
+        # Prevent post-load reinitialization of tensors already loaded from checkpoints.
+        return True
+
     def _init_weights(self, module):
         """Initialize the weights"""
         # HF from_pretrained marks loaded parameters with `_is_hf_initialized`.