diff --git a/c_cxx/OpenVINO_EP/Linux/squeezenet_classification/README.md b/c_cxx/OpenVINO_EP/Linux/squeezenet_classification/README.md
index 3b306338b..3495b63f5 100644
--- a/c_cxx/OpenVINO_EP/Linux/squeezenet_classification/README.md
+++ b/c_cxx/OpenVINO_EP/Linux/squeezenet_classification/README.md
@@ -16,7 +16,7 @@ The source code for this sample is available [here](https://github.com/microsoft
 3. Use opencl for IO buffer sample (squeezenet_cpp_app_io.cpp).
 4. Use any sample image as input to the sample.
 5. Download the latest Squeezenet model from the ONNX Model Zoo.
-   This example was adapted from [ONNX Model Zoo](https://github.com/onnx/models).Download the latest version of the [Squeezenet](https://github.com/onnx/models/tree/master/vision/classification/squeezenet) model from here.
+   This example was adapted from [ONNX Model Zoo](https://github.com/onnx/models).Download the latest version of the [Squeezenet](https://github.com/onnx/models/tree/main/validated/vision/classification/squeezenet) model from here.
 
 
 ## Install ONNX Runtime for OpenVINO Execution Provider