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Merge branch 'spacy.io' [ci skip]

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Ines Montani 2019-03-23 16:46:34 +01:00
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website/docs/usage/spacy-101.md
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@ -95,6 +95,21 @@ systems, or to pre-process text for **deep learning**.
publishing spaCy and other software is called publishing spaCy and other software is called
[Explosion AI](https://explosion.ai). [Explosion AI](https://explosion.ai).
<Infobox title="Download the spaCy Cheat Sheet!">
[![spaCy Cheatsheet](../images/cheatsheet.jpg)](http://datacamp-community-prod.s3.amazonaws.com/29aa28bf-570a-4965-8f54-d6a541ae4e06)
For the launch of our
["Advanced NLP with spaCy"](https://www.datacamp.com/courses/advanced-nlp-with-spacy)
course on DataCamp we created the first official spaCy cheat sheet! A handy
two-page reference to the most important concepts and features, from loading
models and accessing linguistic annotations, to custom pipeline components and
rule-based matching.
<p><Button to="http://datacamp-community-prod.s3.amazonaws.com/29aa28bf-570a-4965-8f54-d6a541ae4e06" variant="primary">Download</Button></p>
</Infobox>
## Features {#features} ## Features {#features}
In the documentation, you'll come across mentions of spaCy's features and In the documentation, you'll come across mentions of spaCy's features and

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website/docs/usage/v2-1.md
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@ -13,6 +13,8 @@ design changes introduced in [v2.0](/usage/v2). As well as smaller models,
faster runtime, and many bug fixes, v2.1 also introduces experimental support faster runtime, and many bug fixes, v2.1 also introduces experimental support
for some exciting new NLP innovations. For the full changelog, see the for some exciting new NLP innovations. For the full changelog, see the
[release notes on GitHub](https://github.com/explosion/spaCy/releases/tag/v2.1.0). [release notes on GitHub](https://github.com/explosion/spaCy/releases/tag/v2.1.0).
For more details and a behind-the-scenes look at the new release,
[see our blog post](https://explosion.ai/blog/spacy-v2-1).
### BERT/ULMFit/Elmo-style pre-training {#pretraining tag="experimental"} ### BERT/ULMFit/Elmo-style pre-training {#pretraining tag="experimental"}