Metadata-Version: 2.1
Name: biobert-bern
Version: 0.0.1
Summary: Use bioBERT via BERN to label biomedical terms in docs
Home-page: https://github.com/daveramseymusic/biobert-bern
Author: daveramseymusic
Author-email: daveramseymusic@gmail.com
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
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: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

Intro biobert-bern
================

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

This file will become your README and also the index of your
documentation.

## Install

``` sh
pip install biobert_bern
```

## How to use

Grab functions from biobertApi notebook to use the BERN2 api that
automatically labels biomedical words located in the block of text that
you send it

# [Found My Fitness Example](https://daveramseymusic.github.io/biobert-bern/found_my_fitness_biobert_bern.html)

> Here we’ll try using elements from the biobertApi module to label
> biomedical terms in the comments section of a Found My Fitness youtube
> video that looks like this :
> <a href="http://www.youtube.com/watch?feature=player_embedded&v=g4QqJoox8tc
> " target="_blank"><img src="http://img.youtube.com/vi/g4QqJoox8tc/0.jpg" 
> alt="IMAGE Youtube Vid" width="240" height="180" border="10" /></a>
> \>\>![alt text](fmf_biobert_bern.png "Found My Fitness Youtube Video")
