Update utils.py

utils.py

@@ -171,12 +171,6 @@ class MolecularPropertyPredictionModel():
             token = os.environ.get("TOKEN")
         )
         #self.base_model.to("cuda")
-        # load the adapters firstly
-        for adapter_name in candidate_models:
-            adapter_id = candidate_models[adapter_name]
-            self.base_model.load_adapter(adapter_id, adapter_name=adapter_name, token = os.environ.get("TOKEN"))
-            self.apapter_scaler_path[adapter_name] = hf_hub_download(adapter_id, filename="scaler.pkl", token = os.environ.get("TOKEN"))
-
 
         # load the tokenizer
         self.tokenizer = AutoTokenizer.from_pretrained(
@@ -199,6 +193,12 @@ class MolecularPropertyPredictionModel():
             end_str="<eos>",
         )
 
+        # load the adapters firstly
+        for adapter_name in candidate_models:
+            adapter_id = candidate_models[adapter_name]
+            self.base_model.load_adapter(adapter_id, adapter_name=adapter_name, token = os.environ.get("TOKEN"))
+            self.apapter_scaler_path[adapter_name] = hf_hub_download(adapter_id, filename="scaler.pkl", token = os.environ.get("TOKEN"))
+
     
     def swith_adapter(self, adapter_name, adapter_id):
         # return flag: