Merge pull request #1 from andrewm4894/example-notebook

Example notebook
This commit is contained in:
Andrew Maguire
2023-01-08 00:24:00 +00:00
committed by GitHub
4 changed files with 170 additions and 0 deletions
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# Example Notebook
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/andrewm4894/Open-Assistant/blob/example-notebook/notebooks/example/example.ipynb)
This folder contains an example reference notebook structure and approach for
this project. Please try and follow this structure as closely as possible.
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row,text,label
1,some example data,1
2,some more data,0
1 row text label
2 1 some example data 1
3 2 some more data 0
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/andrewm4894/Open-Assistant/blob/example-notebook/notebooks/example/example.ipynb)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# uncomment and run below lines to set up if running in colab\n",
"# !git clone https://github.com/andrewm4894/Open-Assistant.git\n",
"# %cd Open-Assistant/notebooks/example\n",
"# !pip install -r requirements.txt"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Example Notebook"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Try to add a markdown section to the notebook that explains what the notebook is about and what it does. This will help people understand what the notebook is for and how to use it."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# import required packages\n",
"import pandas as pd\n",
"from transformers import pipeline"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Use Headings\n",
"\n",
"(it will help with link sharing to specific sections of the notebook)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"Make fancy markdown cells if you want."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>row</th>\n",
" <th>text</th>\n",
" <th>label</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>some example data</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>some more data</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" row text label\n",
"0 1 some example data 1\n",
"1 2 some more data 0"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Do cool stuff here\n",
"df = pd.read_csv(\"data/data.csv\")\n",
"df.head()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.10.4"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "3ad933181bd8a04b432d3370b9dc3b0662ad032c4dfaa4e4f1596c548f763858"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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transformers