rename model

DeBERTaV3.py

@@ -87,11 +87,11 @@ class ModelLoader:
                              metrics=[accuracy, F1Score()]).to_fp16()
         try:
             # First attempt: Try loading with weights_only=True
-            self.learn.load('fastai_QIQC-deberta-v3-unclean', strict=False, weights_only=True)
+            self.learn.load('fastai_QIQC-deberta-v3', strict=False, weights_only=True)
         except Exception as e:
             print(f"Warning: Could not load with weights_only=True. Falling back to default loading. Error: {e}")
             # Second attempt: Fall back to regular loading if the first attempt fails
-            self.learn.load('fastai_QIQC-deberta-v3-unclean', strict=False)
+            self.learn.load('fastai_QIQC-deberta-v3', strict=False)
 
     def get_learner(self):
         return self.learn