{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\mt\\Music\\are\\.venv\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import transformers\n",
    "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'transformers'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[8], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtransformers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m pipeline\n\u001b[0;32m      3\u001b[0m classifier \u001b[38;5;241m=\u001b[39m pipeline(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msentiment-analysis\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      5\u001b[0m \u001b[38;5;28mprint\u001b[39m(classifier(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mWe are very happy to introduce pipeline to the transformers repository.\u001b[39m\u001b[38;5;124m'\u001b[39m))\n",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'transformers'"
     ]
    }
   ],
   "source": [
    "from transformers import pipeline\n",
    "\n",
    "classifier = pipeline('sentiment-analysis')\n",
    "\n",
    "print(classifier('We are very happy to introduce pipeline to the transformers repository.'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'transformers'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[7], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtransformers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m BertJapaneseTokenizer\n",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'transformers'"
     ]
    }
   ],
   "source": [
    "from transformers import BertJapaneseTokenizer\n"
   ]
  }
 ],
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   "name": "python3"
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  "language_info": {
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   "file_extension": ".py",
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