diff --git a/dnn/torch/osce/README.md b/dnn/torch/osce/README.md
index e8940638e314df9fe2f41d2ece07091949908f59..696d7e14063e8c7bf6c6a19126eb3416498ec0a4 100644
--- a/dnn/torch/osce/README.md
+++ b/dnn/torch/osce/README.md
@@ -63,4 +63,4 @@ Generating inference data is analogous to generating training data. Given an ite
 
 The folder item1.se then serves as input for the test_model.py script or for the --testdata argument of train_model.py resp. adv_train_model.py
 
-Checkpoints of pre-trained models are downloaded to dnn/models.
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+autogen.sh downloads pre-trained model weights to the subfolder dnn/models of the main repo.
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