Metadata-Version: 2.1
Name: easyinstruct
Version: 0.0.2
Summary: A easy-to-use framework to instruct large language models.
Home-page: https://github.com/zjunlp/EasyInstruct
Author: Yixin Ou
Keywords: AI,NLP,instruction,language model
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.7.0
Description-Content-Type: text/markdown
License-File: LICENSE

# EasyInstruct

![](https://img.shields.io/badge/version-v0.0.2-blue)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
![](https://img.shields.io/github/last-commit/zjunlp/Prompt4ReasoningPapers?color=green) 
![](https://img.shields.io/badge/PRs-Welcome-red) 


## Overview

EasyInstruct is a Python package for instructing Large Language Models(LLM) like GPT-3 in your research experiments. It is designed to be easy to use and easy to extend.


## Installation

**Installation using PyPI:**
```
pip install easyinstruct==0.0.2
```

**Installation for local development:**
```
git clone https://github.com/zjunlp/EasyInstruct
cd EasyInstruct
pip install -e .
```

## Docs

See [docs](docs) folder for detailed documentation of the package.


## Contributors

<a href="https://github.com/zjunlp/EasyInstruct/graphs/contributors">
  <img src="https://contrib.rocks/image?repo=zjunlp/EasyInstruct" />
</a>
