checking if other model thigns are needed

modeling_lang.py

@@ -55,8 +55,8 @@ class ExtendedMultitaskModelForTokenClassification(PreTrainedModel):
 
         # print("Ignoring state_dict since model has no parameters.")
 
-    def get_floret_model(self):
-        return self.model_floret
+    # def get_floret_model(self):
+    #     return self.model_floret
 
     # def get_extended_attention_mask(
     #     self, attention_mask, input_shape, device=None, dtype=torch.float