tokenizer.ipynb

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   "source": [
    "Tokenizers are one of the core components of the NLP pipeline. They serve one purpose: to translate text into data that can be processed by the model. Models can only process numbers, so tokenizers need to convert our text inputs to numerical data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline\n",
    "\n",
    "model_name = \"deepset/roberta-base-squad2\"\n",
    "\n",
    "model = AutoModelForQuestionAnswering.from_pretrained(model_name)\n",
    "tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
    "tokenizer"
   ]
  }
 ],
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