---
author: James
date: 2019-01-15 18:14:16+00:00
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tags:
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- python
- work
- phd
title: Spacy Link or “How not to keep downloading the same files over and over”
type: posts
url: /2019/01/15/spacy-link-or-how-not-to-keep-downloading-the-same-files-over-and-over/
---

If you’re a frequent user of spacy and virtualenv you might well be all too familiar with the following:

<blockquote class="wp-block-quote">
  <p>
    python -m spacy download en_core_web_lg<br /> Collecting en_core_web_lg==2.0.0 from https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-2.0.0/en_core_web_lg-2.0.0.tar.gz#egg=en_core_web_lg==2.0.0<br /> Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-2.0.0/en_core_web_lg-2.0.0.tar.gz (852.3MB)<br /> 5% |█▉ | 49.8MB 11.5MB/s eta 0:01:10
  </p>
</blockquote>

If you&#8217;re lucky and you have a decent internet connection then great, if not it&#8217;s time to make a cup of tea.

Even if your internet connection is good. Did you ever stop to look at how much disk space your python virtual environments were using up? I recently found that about 40GB of disk space on my laptop was being used by spacy models I&#8217;d downloaded and forgotten about.

Fear not &#8211; spacy link offers you salvation from this wasteful use of disk space.

Spacy link essentially allows you to link your virtualenv copy of spacy to a copy of the model you already downloaded. Say you installed your desired spacy model to your global python3 installation &#8211; somewhere like** _/usr/lib/python3/site-packages/spacy/data_**** __**

Spacy link will let you link your existing model into a virtualenv to save redownloading (and using extra disk space). From your virtualenv you can do:

python -m spacy link ** _/usr/lib/python3/site-packages/spacy/data/<name\_of\_model> <name of model>_**

For example if we wanted to make the **en\_core\_web_lg** the default english model model in our virtualenv we could do 

python -m spacy link ** _/usr/lib/python3/site-packages/spacy/data/en\_core\_web_lg en_**

Presto! Now when we do **spacy.load(&#8216;en&#8217;)** inside our virtualenv we get the large model!