diff --git a/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp b/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp
index 9c665afcd..d9ba1374c 100644
Binary files a/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp and b/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp differ
diff --git a/egs/librispeech/ASR/incremental_transf/identity_train.py b/egs/librispeech/ASR/incremental_transf/identity_train.py
index 9209e751b..e5a81491b 100755
--- a/egs/librispeech/ASR/incremental_transf/identity_train.py
+++ b/egs/librispeech/ASR/incremental_transf/identity_train.py
@@ -966,10 +966,11 @@ def run(rank, world_size, args):
     logging.info("About to create model")
     model = get_transducer_model(params)
     
-    '''
-    pre_trained_model = torch.load('/home/work/workspace/icefall/egs/librispeech/ASR/pruned_transducer_stateless5/exp-B/epoch-30.pt')
+    pre_trained_model = torch.load('/home/work/workspace/icefall/egs/librispeech/ASR/incremental_trans/conformer_12layers.pt')
     pre_trained_model = pre_trained_model['model']
-
+    model.load_state_dict(pre_trained_model)
+    
+    '''
     for n, p in model.named_parameters():
         if 'layer' not in n:
             try: p.data = pre_trained_model[n]
@@ -983,9 +984,8 @@ def run(rank, world_size, args):
                 except: print(f'pre-trained model has no parameter named {n}.')
             else:
                 print(f'skipping param load {n}')
-
-    exit()
     '''
+    exit()
 
     num_param = sum([p.numel() for p in model.parameters()])
     logging.info(f"Number of model parameters: {num_param}")