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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
" "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Results saved to data/en_qa_output.xlsx\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\r"
]
}
],
"source": [
"from autotab import AutoTab\n",
"\n",
"\n",
"autotab = AutoTab(\n",
" in_file_path=\"data/en_qa_input.xlsx\",\n",
" out_file_path=\"data/en_qa_output.xlsx\",\n",
" instruction=\"You should help me classify the questions and answer them.\",\n",
" max_examples=5,\n",
" model_name=\"Qwen/Qwen2-7B-Instruct\",\n",
" generation_config={\"temperature\": 0, \"max_tokens\": 128},\n",
" request_interval=0.01,\n",
" api_keys=[\"sk-exhahhjfqyanmwewndukcqtrpegfdbwszkjucvcpajdufiah\"],\n",
" base_url=\"https://public-beta-api.siliconflow.cn/v1\",\n",
" save_every=10,\n",
")\n",
"autotab.run()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"You should help me classify the questions and answer them.\n",
"\n",
"<Question>What is the capital of France?</Question>\n",
"<Category>Geography</Category>\n",
"<Answer>Paris</Answer>\n",
"\n",
"<Question>Who wrote '1984'?</Question>\n",
"<Category>Literature</Category>\n",
"<Answer>George Orwell</Answer>\n",
"\n",
"<Question>What is the largest planet in the solar system?</Question>\n",
"<Category>Astronomy</Category>\n",
"<Answer>Jupiter</Answer>\n",
"\n",
"<Question>Who painted the Mona Lisa?</Question>\n",
"<Category>Art</Category>\n",
"<Answer>Leonardo da Vinci</Answer>\n",
"\n",
"<Question>What is the currency of Japan?</Question>\n",
"<Category>Economics</Category>\n",
"<Answer>Yen</Answer>\n",
"\n",
"<Question>Who is the first president of the United States?</Question>\n",
"\n"
]
}
],
"source": [
"print(autotab.query_example)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "common",
"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": "3.12.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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