{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4768688d-5585-4b2e-b4fd-92e821749907",
   "metadata": {},
   "source": [
    "My first Notebook for Hugging Face"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5c8a6ed2-8624-45ba-b498-ae8eb02b90c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import transformers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1218215d-a093-41c6-82c2-b2f28302fe4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from huggingface_hub import notebook_login"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b8bf50e7-4d98-4447-b95b-cca493c736c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1dec152696a54ed38b55e353aee6bc8f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "notebook_login()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b7f6ce0-5627-4a3f-9a83-1da0c07d3161",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}