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Fix Travis CI link

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@ -1,12 +1,12 @@
<p align="center">
<img style="vertical-align:middle" width="150" src="https://avatars.githubusercontent.com/u/13667124?s=400&u=aca1de69f751c02bbcda6a38f78d4b6653975df6&v=4" />
<img style="vertical-align:middle;margin:-10px" width="150" src="https://avatars.githubusercontent.com/u/13667124" />
</p>
<h1 align="center">
<span>GenieNLP</span>
</h1>
<p align="center">
<a href="https://travis-ci.com/stanford-oval/genienlp"><img src="https://travis-ci.com/stanford-oval/genienlp.svg?branch=master" alt="Build Status"></a>
<a href="https://app.travis-ci.com/github/stanford-oval/genienlp"><img src="https://travis-ci.com/stanford-oval/genienlp.svg?branch=master" alt="Build Status"></a>
<a href="https://pypi.org/project/genienlp/"><img src="https://img.shields.io/pypi/dm/genienlp" alt="PyPI Downloads"></a>
<a href="https://github.com/stanford-oval/genienlp/stargazers"><img src="https://img.shields.io/github/stars/stanford-oval/genienlp?style=social" alt="Github Stars"></a>
</p>
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GenieNLP is suitable for all NLP tasks, including text generation (e.g. translation, paraphasing), token classification (e.g. named entity recognition) and sequence classification (e.g. NLI, sentiment analysis).
This library contains the code to run NLP models for the [Genie Toolkit](https://github.com/stanford-oval/genie-toolkit) and the [Genie Virtual Assistant](https://genie.stanford.edu/).
Genie primarily uses this library for semantic parsing, paraphrasing, translation, and dialogue state tracking. Therefore, GenieNLP has a lot of extra features for these tasks.
## Table of Contents
- [Table of Contents](#table-of-contents)
Works with [🤗 models](https://huggingface.co/models) and [🤗 Datasets](https://huggingface.co/datasets).
## Table of Contents <!-- omit in TOC -->
- [Installation](#installation)
- [Usage](#usage)
- [Training a semantic parser](#training-a-semantic-parser)
@ -43,7 +46,7 @@ Or from source:
```bash
git clone https://github.com/stanford-oval/genienlp.git
cd genienlp
pip install -e .
pip install -e . # -e means your changes to the code will automatically take effect without the need to reinstall
```
After installation, `genienlp` command becomes available.