{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "41454005-ef06-4937-9280-ac64f0007859",
   "metadata": {},
   "source": [
    "# My first notebook for Hugging Face"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cd69412e-418d-42d6-af3a-d21de8a3ea7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "12 + 12"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
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 },
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