Upload modeling_conceptframemet.py with huggingface_hub

modeling_conceptframemet.py

@@ -48,8 +48,12 @@ class ConceptFrameMetForMetaphorDetection(nn.Module):
         self.source_alpha = source_alpha
         self.metaphor_threshold = metaphor_threshold
         
-        # Load encoder (RoBERTa)
-        self.encoder = RobertaModel.from_pretrained(encoder_model_name)
+        # Load encoder (RoBERTa) with correct type_vocab_size
+        from transformers import RobertaConfig
+        encoder_config = RobertaConfig.from_pretrained(encoder_model_name)
+        encoder_config.type_vocab_size = 4  # CRITICAL: Match training config
+        
+        self.encoder = RobertaModel.from_pretrained(encoder_model_name, config=encoder_config)
         self.tokenizer = RobertaTokenizer.from_pretrained(encoder_model_name)
         self.config = self.encoder.config