update README (#4)

README.md

@@ -1,11 +1,22 @@
 # Allennlp Integration for [Shiba](https://github.com/octanove/shiba)
 
 [![CI](https://github.com/shunk031/allennlp-shiba-model/actions/workflows/ci.yml/badge.svg)](https://github.com/shunk031/allennlp-shiba-model/actions/workflows/ci.yml)
+[![Release](https://github.com/shunk031/allennlp-shiba-model/actions/workflows/release.yml/badge.svg)](https://github.com/shunk031/allennlp-shiba-model/actions/workflows/release.yml)
+![Python](https://img.shields.io/badge/python-3.7%20%7C%203.8-blue?logo=python)
+[![PyPI](https://img.shields.io/pypi/v/allennlp-shiba.svg)](https://pypi.org/project/allennlp-shiba/)
 
 `allennlp-shiab-model` is a Python library that provides AllenNLP integration for [shiba-model](https://pypi.org/project/shiba-model/).
 
 > SHIBA is an approximate reimplementation of CANINE [[1]](https://github.com/octanove/shiba#1) in raw Pytorch, pretrained on the Japanese wikipedia corpus using random span masking. If you are unfamiliar with CANINE, you can think of it as a very efficient (approximately 4x as efficient) character-level BERT model. Of course, the name SHIBA comes from the identically named Japanese canine.
 
+## Installation
+
+Installing the library and dependencies is simple using `pip`.
+
+```shell
+pip install allennlp-shiba
+```
+
 ## Example
 
 This library enables users to specify the in a jsonnet config file. Here is an example of the model in jsonnet config file: