Fix few outdated URLs

README.md

@@ -55,7 +55,7 @@ Once you have an ONNX model, it can be scored with a variety of tools.
 | [Tensorflow](https://www.tensorflow.org/) | [onnx-tensorflow](https://github.com/onnx/onnx-tensorflow) | [Example](tutorials/OnnxTensorflowImport.ipynb)|
 | [TensorRT](https://developer.nvidia.com/tensorrt) | [onnx-tensorrt](https://github.com/onnx/onnx-tensorrt) | [Example](https://github.com/onnx/onnx-tensorrt/blob/master/README.md) |
 | [Windows ML](https://docs.microsoft.com/en-us/windows/ai/windows-ml) | Pre-installed on [Windows 10](https://docs.microsoft.com/en-us/windows/ai/release-notes) | [API](https://docs.microsoft.com/en-us/windows/ai/api-reference) <br>Tutorials - [C++ Desktop App](https://docs.microsoft.com/en-us/windows/ai/get-started-desktop), [C# UWP App](https://docs.microsoft.com/en-us/windows/ai/get-started-uwp) <br> [Examples](https://docs.microsoft.com/en-us/windows/ai/tools-and-samples) |
-| [Vespa.ai](https://vespa.ai) | [Vespa Getting Started Guide](https://docs.vespa.ai/en/getting-started.html) | [Real Time ONNX Inference](https://github.com/vespa-engine/sample-apps/tree/master/model-inference) <br>Distributed Real Time ONNX Inference for [Search and Passage Ranking](https://github.com/vespa-engine/sample-apps/blob/master/msmarco-ranking/passage-ranking-README.md)|
+| [Vespa.ai](https://vespa.ai) | [Vespa Getting Started Guide](https://docs.vespa.ai/en/getting-started.html) | [Real Time ONNX Inference](https://github.com/vespa-engine/sample-apps/tree/master/model-inference) <br>Distributed Real Time ONNX Inference for [Search and Passage Ranking](https://github.com/vespa-engine/sample-apps/blob/master/msmarco-ranking/README.md)|
 
 
 ## End-to-End Tutorials

tutorials/OnnxCntkImport.ipynb

@@ -103,7 +103,7 @@
    "source": [
     "You can find a collection of pretrained ONNX models [here](https://github.com/onnx/models). For this tutorial, we will be using the pretrained VGG-19 model.\n",
     "\n",
-    "Download this file https://github.com/onnx/models/blob/main/vision/classification/vgg/model/vgg19-caffe2-9.tar.gz to your working directory, and extract the tarball of the model. Inside the extracted folder you will find a protobuf file `model.pb`, which is the serialized ONNX model."
+    "Download this file https://github.com/onnx/models/blob/main/validated/vision/classification/vgg/model/vgg19-caffe2-9.tar.gz to your working directory, and extract the tarball of the model. Inside the extracted folder you will find a protobuf file `model.pb`, which is the serialized ONNX model."
    ]
   },
   {

tutorials/OnnxRuntimeServerSSDModel.ipynb

@@ -26,7 +26,7 @@
     "\n",
     "## Pre-requisites to run the notebook\n",
     "\n",
-    "1) Please download the SSD ONNX model (ssd.onnx) file from [here](https://github.com/onnx/models/blob/main/vision/object_detection_segmentation/ssd/model/ssd-10.onnx)\n",
+    "1) Please download the SSD ONNX model (ssd.onnx) file from [here](https://github.com/onnx/models/blob/main/validated/vision/object_detection_segmentation/ssd/model/ssd-10.onnx)\n",
     "\n",
     "2) Please download the ONNXRuntime Server image:\n",
     "\n",