fix model config bug

model.py

@@ -137,7 +137,7 @@ class SentenceCoseNet(PreTrainedModel):
         super().__init__(config)
         
         # Core PyTorch model
-        self.model = SegmentationNetwork(self.to_model_config())
+        self.model = SegmentationNetwork(self.to_model_config(config))
 
         # Initialize weights following HF conventions
         self.post_init()
@@ -303,24 +303,25 @@ class SentenceCoseNet(PreTrainedModel):
             **kwargs,
         )
 
-    def to_model_config(self) -> ModelConfig:
+    @staticmethod
+    def to_model_config(config: SentenceCoseNetConfig) -> ModelConfig:
         """
         Convert Hugging Face config to internal ModelConfig.
         """
         mc = ModelConfig()
 
         # Core dimensions
-        mc.vocab_size = self.vocab_size
-        mc.model_dim = self.emb_dim
-        mc.valid_padding = self.valid_padding
+        mc.vocab_size = config.vocab_size
+        mc.model_dim = config.emb_dim
+        mc.valid_padding = config.valid_padding
 
         # CoSeNet config
-        mc.cosenet = CoSeNetConfig(**self.cosenet)
+        mc.cosenet = CoSeNetConfig(**config.cosenet)
 
         # Transformer stack
         mc.transformers = [
             TransformerConfig(**cfg)
-            for cfg in self.transformers
+            for cfg in config.transformers
         ]
 
         return mc