diff --git a/model_zoo/official/nlp/transformer/export.py b/model_zoo/official/nlp/transformer/export.py
index 40bd3d5094..6c0e30f1dc 100644
--- a/model_zoo/official/nlp/transformer/export.py
+++ b/model_zoo/official/nlp/transformer/export.py
@@ -26,7 +26,6 @@ from eval import load_weights
 
 parser = argparse.ArgumentParser(description='transformer export')
 parser.add_argument("--device_id", type=int, default=0, help="Device id")
-parser.add_argument("--batch_size", type=int, default=1, help="batch size")
 parser.add_argument("--file_name", type=str, default="transformer", help="output file name.")
 parser.add_argument('--file_format', type=str, choices=["AIR", "ONNX", "MINDIR"], default='AIR', help='file format')
 parser.add_argument("--device_target", type=str, default="Ascend",
@@ -43,7 +42,7 @@ if __name__ == '__main__':
     parameter_dict = load_weights(cfg.model_file)
     load_param_into_net(tfm_model, parameter_dict)
 
-    source_ids = Tensor(np.ones((args.batch_size, transformer_net_cfg.seq_length)).astype(np.int32))
-    source_mask = Tensor(np.ones((args.batch_size, transformer_net_cfg.seq_length)).astype(np.int32))
+    source_ids = Tensor(np.ones((transformer_net_cfg.batch_size, transformer_net_cfg.seq_length)).astype(np.int32))
+    source_mask = Tensor(np.ones((transformer_net_cfg.batch_size, transformer_net_cfg.seq_length)).astype(np.int32))
 
     export(tfm_model, source_ids, source_mask, file_name=args.file_name, file_format=args.file_format)