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models.html
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---
---
<!DOCTYPE html>
<html lang="en-us">
<head>
{% include meta.html %}
<title>AllenNLP - Models</title>
</head>
<body id="top" data-page="models">
<div id="page-content">
{% include header.html %}
<div class="banner banner--notification c-bg-blue-med-light">
<div class="constrained constrained--sm">
<div class="banner--notification__content"><span>We're looking for user-submitted models!</span> <a href="#how-to-contribute">Learn more</a></div>
</div>
</div>
<div class="banner banner--interior-hero">
<div class="constrained constrained--sm">
<div class="banner--interior-hero__content">
<h1>Models</h1>
<p class="t-sm">AllenNLP provides strong performance with reasonable runtimes, along
with the infrastructure to easily run them. All of our models are for the English
language although we do have some contributed models for other languages.</p>
<p class="t-sm">Please note that <a href="https://docs.nvidia.com/deeplearning/sdk/pdf/cuDNN-Developer-Guide.pdf">some CuDNN methods are non-deterministic</a>.
Additionally results may vary across drivers and GPU architectures. Included below are the best
versions of the models we have trained. If you retrain a model you may get different scores.</p>
</div>
</div>
</div>
<div id="auto-nav" class="col-layout constrained col-layout--hidden-mobile-sidenav">
<div class="pure-g">
<div class="col-layout__nav pure-u-1 pure-u-lg-1-4">
<nav>
{% comment %}
Models page side-nav links are dynamically generated
{% endcomment %}
</nav>
</div>
<div class="col-layout__content pure-u-1 pure-u-lg-3-4">
{% include models-template.html %}
{% include gallery-template.html %}
{% comment %}
See `_data/models.yml` and `_data/gallery.yml` for models content
{% endcomment %}
<div id="how-to-contribute" class="banner banner--hr js-dynamic-section" data-group="Contributing" data-label="How to Contribute">
<div class="constrained constrained--med">
<div class="padded-med">
<h2>How to Contribute</h2>
<p>
AllenNLP wants more near state-of-the-art NLP models and is looking for contributions.
Not only will your model be listed here and be easily accessible to other users of AllenNLP, but we'll even help build a visualization and host a demo.
To contribute a model:
<ol class="formatted">
<li>Put your code in a GitHub repo with instructions for running it</li>
<li>Publish a paper or host it on arXiv (ideally)
<li>Host the trained <code>model.tar.gz</code> file somewhere accessible by HTTP</li>
<li><a href = "https://github.com/allenai/allennlp/issues">Open an issue</a> with the above links</a></li>
</ol>
</p>
</div>
</div>
</div>
</div>
</div>
</div>
{% include footer.html %}
</div>
{% include svg-sprite.html %}
{% include scripts.html %}
</body>
</html>