Fix openvino_imagenet_ensemble notebook links

Fixes broken links and formatting.

examples/models/openvino_imagenet_ensemble/openvino_imagenet_ensemble.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "# Pipeline example with OpenVINO inference execution engine \n",
     "\n",
-    "This notebook illustrates how you can serve ensemble of models using [OpenVINO prediction model](https://github.com/SeldonIO/seldon-core/tree/master/wrappers/s2i/python_openvino).\n",
+    "This notebook illustrates how you can serve ensemble of models using [OpenVINO prediction model](https://github.com/SeldonIO/seldon-core/tree/master/examples/models/openvino_imagenet_ensemble/resources/model).\n",
     "The demo includes optimized ResNet50 and DenseNet169 models by OpenVINO model optimizer. \n",
     "They have [reduced precision](https://www.intel.ai/introducing-int8-quantization-for-fast-cpu-inference-using-openvino/#gs.lUSgiWKa) of graph operations from FP32 to INT8. It significantly improves the execution peformance with minimal impact on the accuracy. The gain is particulary visible with the latest Casade Lake CPU with [VNNI](https://www.intel.ai/intel-deep-learning-boost/#gs.sy7JEtwu) extension.\n",
     "\n",
@@ -19,7 +19,7 @@
    "source": [
     "## Setup Seldon Core\n",
     "\n",
-    "Use the setup notebook to [Setup Cluster](../../seldon_core_setup.ipynb#Setup-Cluster) with [Ambassador Ingress](../../seldon_core_setup.ipynb#Ambassador) and [Install Seldon Core](../../seldon_core_setup.ipynb#Install-Seldon-Core). Instructions [also online](./seldon_core_setup.html)."
+    "Use the setup notebook to [Setup Cluster](../../../notebooks/seldon_core_setup.ipynb#Setup-Cluster) with [Ambassador Ingress](../../../notebooks/seldon_core_setup.ipynb#Ambassador) and [Install Seldon Core](../../seldon_core_setup.ipynb#Install-Seldon-Core). Instructions [also online](./seldon_core_setup.html)."
    ]
   },
   {
@@ -206,13 +206,6 @@
    "source": [
     "!kubectl delete -f seldon_ov_predict_ensemble.json"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {