Created using Colaboratory

samples/core/get_started/save_and_restore_models.ipynb

@@ -85,13 +85,29 @@
     },
     {
       "metadata": {
-        "id": "mBdde4YJeJKF",
+        "id": "pZJ3uY9O17VN",
         "colab_type": "text"
       },
       "cell_type": "markdown",
       "source": [
         "# Save and restore models\n",
         "\n",
+        "<table align=\"left\"><td>\n",
+        "<a target=\"_blank\"  href=\"https://colab.sandbox.google.com/github/tensorflow/models/blob/master/samples/core/get_started/save_and_restore_models.ipynb\">\n",
+        "    <img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>  \n",
+        "</td><td>\n",
+        "<a target=\"_blank\"  href=\"https://github.com/tensorflow/models/blob/master/samples/core/get_started/save_and_restore_models.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on Github</a></td></table>\n"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "mBdde4YJeJKF",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "\n",
+        "\n",
         "Model progress can be saved during—and after—training. This means a model can resume where it left off and avoid long training times. Saving also means you can share your model and others can recreate your work. When publishing research models and techniques,  most machine learning practioners share:\n",
         "\n",
         "* code to create the model, and\n",