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hsa/AlgoriAgent/examples/0_jupyter_example_template/main.ipynb
CakeCN 4198ca63b1 init
2024-12-03 16:21:19 +08:00

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{
"cells": [
{
"cell_type": "markdown",
"source": [
"# Your Example Title Here\n",
"\n",
"This example will show\n",
"- How to ...\n",
"- How to ...\n",
"\n",
"\n",
"## Background (If needed)\n",
"\n",
"The background of your example here. \n",
"\n",
"\n",
"## Tested Models\n",
"\n",
"These models are tested in this example. For other models, some modifications may be needed. \n",
"- xxx\n",
"- xxx \n",
"\n",
"\n",
"## Prerequisites\n",
"\n",
"Fill the next cell to meet the following requirements \n",
"- The requirements to execute this example\n",
"- ...\n",
"- [Optional] Optional requirements\n",
"- ...\n"
],
"metadata": {
"collapsed": false
},
"id": "5f0c2fc19efe575e"
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"# The prerequisites, e.g.\n",
"bing_api_key = \"xxx\"\n",
"\n",
"your_model_configuration_name = \"xxx\"\n",
"\n",
"your_model_configuration = {\n",
" \"model_type\": \"xxx\", \n",
" \"config_name\": your_model_configuration_name,\n",
" \n",
" # ...\n",
"}"
],
"metadata": {
"collapsed": false,
"is_executing": true
},
"id": "596cca552b163051"
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [],
"metadata": {
"collapsed": false
},
"id": "966b96e4893709a5"
},
{
"cell_type": "markdown",
"source": [],
"metadata": {
"collapsed": false
},
"id": "7cbb4630bf5e2c15"
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}