diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp
index 9b9b096ff..946cd7f67 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
index 472a284b4..39820a8aa 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
@@ -666,6 +666,7 @@ def get_transducer_model(params: AttributeDict) -> nn.Module:
         decoder_dim=params.decoder_dim,
         joiner_dim=params.joiner_dim,
         vocab_size=params.vocab_size,
+        prompt=params.prompt,
     )
     return model
 
@@ -1558,7 +1559,7 @@ def run_adapter(rank, world_size, args, wb=None):
     logging.info(params)
 
     logging.info("About to create model")
-    model = get_transducer_model(params, prompt=True)
+    model = get_transducer_model(params)
 
     num_param = sum([p.numel() if p.requires_grad else 0 for p in model.parameters()])
     logging.info(f"Number of model parameters: {num_param}")