diff --git a/test/unit/test_tutorials/test_rec_system.py b/test/unit/test_tutorials/test_rec_system.py
index 65b5ad84..a813a78f 100644
--- a/test/unit/test_tutorials/test_rec_system.py
+++ b/test/unit/test_tutorials/test_rec_system.py
@@ -6,6 +6,7 @@
 import random
 import unittest
 from typing import List, Optional, Tuple
+import os
 
 import numpy as np
 
@@ -189,16 +190,25 @@ def setUp(self) -> None:
     def test_rec_system(self) -> None:
         # load environment
         model = SequenceClassificationModel(100).to(device)
+        print("current dir", os.getcwd())
+        if os.path.exists("pearl"):
+            # Meta internal tests
+            print("pearl directory exists)
+            model_dir = "pearl/tutorials/single_item_recommender_system_example/"
+        else:
+            # Github CI tests
+            print("Pearl directory exists)
+            model_dir = "Pearl/tutorials/single_item_recommender_system_example/"
         model.load_state_dict(
             # Note: in the tutorial the directory "pearl" must be replaced by "Pearl"
             torch.load(
-                "pearl/tutorials/single_item_recommender_system_example/env_model_state_dict.pt",
+                os.path.join("model_dir", "env_model_state_dict.pt"),
                 weights_only=True,
             )
         )
         # Note: in the tutorial the directory "pearl" must be replaced by "Pearl"
         actions = torch.load(
-            "pearl/tutorials/single_item_recommender_system_example/news_embedding_small.pt",
+            os.path.join(model_dir, "news_embedding_small.pt"),
             weights_only=True,
         )
         history_length = 8