automapping.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c490e858-3a85-4843-80a3-103c67b5a84a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import pipeline\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "sns.set_theme(style=\"whitegrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7a2bff96-167f-47b0-8ee6-b7bb8b4d8dd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "task = \"zero-shot-classification\"\n",
    "model = \"facebook/bart-large-mnli\" \n",
    "classifier = pipeline(task, model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0478e9ae-5815-43cf-8598-a9d2d44d2b4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "haystack = ['achievement',\n",
    " 'effort',\n",
    " 'attention to detail',\n",
    " 'integrity',\n",
    " 'leadership',\n",
    " 'social orientation',\n",
    " 'concern for others',\n",
    " 'investigative',\n",
    " 'adaptability',\n",
    " 'flexibility',\n",
    " 'negativity',\n",
    " 'neuroticism',\n",
    " 'rule abiding']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "12f7db21-9fb2-43d7-9df3-096e92af3e4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "needle = \"\"\"delivers high quality products and exceptional service that provides value. execute established processes in compliance to applicable frameworks with professional standards\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d6c56734-2550-4769-84bb-d1d1021f8adf",
   "metadata": {},
   "outputs": [],
   "source": [
    "classifier_output = classifier(needle, haystack, multi_label=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c1d171d0-6fd1-4870-9a71-6e960f607dc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.DataFrame({\n",
    "    \"label\":classifier_output[\"labels\"],\n",
    "    \"score\":classifier_output[\"scores\"]\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "214b7854-a5d3-45ea-b719-8bbeec82f99b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(x=\"label\", y=\"score\", color=\"blue\", alpha=0.6, data=data)\n",
    "_ = plt.xticks(rotation=90)\n",
    "sns.despine()"
   ]
  }
 ],
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