diff --git a/README.md b/README.md
index 829ef337..daf748fd 100644
--- a/README.md
+++ b/README.md
@@ -97,7 +97,7 @@ cd examples/inference/python
 then you can check the performance by simply running following commands. `hf_bart_export.py` is used to transform pytorch weights to LightSeq protobuffer.
 
 ```shell
-python export/hf_bart_export.py
+python export/huggingface/hf_bart_export.py
 python test/ls_bart.py
 ```
 
diff --git a/examples/inference/python/export/huggingface/hf_bart_export.py b/examples/inference/python/export/huggingface/hf_bart_export.py
index 82a0effd..2d3c0290 100644
--- a/examples/inference/python/export/huggingface/hf_bart_export.py
+++ b/examples/inference/python/export/huggingface/hf_bart_export.py
@@ -2,6 +2,10 @@
 Export Hugging Face BART models to protobuf/hdf5 format.
 """
 import os
+import sys
+sys.path.append(
+    os.path.abspath(os.path.join(os.path.abspath(__file__), "..", "..", ".."))
+)
 from collections import OrderedDict
 
 import tensorflow as tf