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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Model\n",
+    "\n",
+    "This notebook illustrates basic functionality with the `model` package that apply complex transformations on certificates.\n",
+    "\n",
+    "*Note*: You probably don't need to use this. Instead, you should use `CCDataset` or `FIPSDataset` classes to handle the transformations for yourself."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sec_certs.dataset.common_criteria import CCDataset\n",
+    "from sec_certs.model import SARTransformer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dset: CCDataset = CCDataset.from_web_latest()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## SARTransformer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "transformer = SARTransformer().fit(dset.certs.values())\n",
+    "extracted_sars = {x.dgst: transformer.transform_single_cert(x) for x in dset}"
+   ]
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "6386d1612879d92d026c363e7667e428bc38d86c5a080d58c3d70e7cd43df67d"
+  },
+  "kernelspec": {
+   "display_name": "Python 3.8.1 ('certsvenv': venv)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.1"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}