doc(nbs): add tip on attaching existing endpoint

Help save time when rebooting kernel for notebook 2

Author: athewsey

notebooks/2. Model Training.ipynb

@@ -709,8 +709,28 @@
    "source": [
     "## Using the Model\n",
     "\n",
-    "Once the deployment is complete, we're ready to try it out with some real-time requests!\n",
-    "\n",
+    "Once the deployment is complete, we're ready to try it out with some real-time requests!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# As with estimators, you can attach the notebook to a previously deployed endpoint like this:\n",
+    "# from sagemaker.huggingface import HuggingFacePredictor\n",
+    "# predictor = HuggingFacePredictor(\n",
+    "#     \"layoutlm-cfpb-hf-2021-09-02-01-08-11-234\",\n",
+    "#     serializer=sagemaker.serializers.JSONSerializer(),\n",
+    "#     deserializer=sagemaker.deserializers.JSONDeserializer(),\n",
+    "# )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "### Making requests and rendering results\n",
     "\n",
     "This model accepts Textract-like JSON (e.g. as returned by [AnalyzeDocument](https://docs.aws.amazon.com/textract/latest/dg/API_AnalyzeDocument.html#API_AnalyzeDocument_ResponseSyntax) or [DetectDocumentText](https://docs.aws.amazon.com/textract/latest/dg/API_DetectDocumentText.html#API_DetectDocumentText_ResponseSyntax) APIs) and classifies each `WORD` [block](https://docs.aws.amazon.com/textract/latest/dg/API_Block.html) according to the entity classes we defined earlier: Returning the same JSON with additional fields added to indicate the predictions.\n",