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{
"cells": [
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"from transformers import pipeline\n",
"import pandas as pd\n",
"import torch\n",
"\n",
"\n",
"table = pd.read_excel(\"MS_IS_50_modules_cleaned.xlsx\")\n",
"table = table.astype(str)\n",
"\n",
"tqa = pipeline(task=\"table-question-answering\", model=\"google/tapas-large-finetuned-wtq\")"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Programming with neural nets']\n"
]
}
],
"source": [
"question = \"Which modules titles are about programming?\"\n",
"c = tqa(table, query=question)['cells']\n",
"\n",
"print(c)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "py38",
"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": "3.8.16"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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