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fixing a bug in the partials template
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RyanMullins committed Dec 20, 2021
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8 changes: 4 additions & 4 deletions docs/demos/index.html
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<div class="demo-card-cta-button"><a href="/lit/demos/glue.html"></a></div>
</div>
<div class="demo-card mdl-cell mdl-cell--6-col mdl-cell--4-col-tablet mdl-cell--4-col-phone">
<div class="demo-card-title"><a href="/lithttps://colab.research.google.com/github/PAIR-code/lit/blob/main/lit_nlp/examples/notebooks/LIT_sentiment_classifier.ipynb" target="_blank">Notebook usage</a></div>
<div class="demo-card-title"><a href="https://colab.research.google.com/github/PAIR-code/lit/blob/main/lit_nlp/examples/notebooks/LIT_sentiment_classifier.ipynb" target="_blank">Notebook usage</a></div>
<div class="demo-card-tags"> <span class="demo-tag"> BERT </span> <span class="demo-tag"> binary classification </span> <span class="demo-tag"> notebooks </span>
</div>
<div class="demo-card-data-source-title">DATA SOURCES</div>
<div class="demo-card-data-source-title">DATA SOURCE</div>
<div class="demo-card-data-source">
Stanford Sentiment Treebank
<a href="" target="_blank">Stanford Sentiment Treebank</a>
</div>
<div class="demo-card-copy">Use LIT directly inside a Colab notebook. Explore binary classification for sentiment analysis using SST2 from the General Language Understanding Evaluation (GLUE) benchmark suite.</div>
<div class="demo-card-cta-button"><a href="/lithttps://colab.research.google.com/github/PAIR-code/lit/blob/main/lit_nlp/examples/notebooks/LIT_sentiment_classifier.ipynb"></a></div>
<div class="demo-card-cta-button"><a href="https://colab.research.google.com/github/PAIR-code/lit/blob/main/lit_nlp/examples/notebooks/LIT_sentiment_classifier.ipynb"></a></div>
</div>
<div class="demo-card mdl-cell mdl-cell--6-col mdl-cell--4-col-tablet mdl-cell--4-col-phone">
<div class="demo-card-title"><a href="/lit/demos/coref.html" target="_blank">Gender bias in coreference systems</a></div>
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6 changes: 3 additions & 3 deletions website/src/demos.md
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{% include partials/demo-card c-title: "Image classification", link: "/demos/images.html",
c-data-source: "Imagenette", c-copy: "Analyze an image classification model with LIT, including muliple image salience techniques.", tags: "images, mutli-class classification", external:"true" %}
{% include partials/demo-card c-title: "Classification and regression models", link: "/demos/glue.html",

{% include partials/demo-card c-title: "Classification and regression models", link: "/demos/glue.html",
c-data-source: "Stanford Sentiment Treebank, Multi-Genre NLI Corpus, Semantic Textual Similarity Benchmark"
c-copy: "Use LIT with any of three tasks from the General Language Understanding Evaluation (GLUE) benchmark suite. This demo contains binary classification (for sentiment analysis, using SST2), multi-class classification (for textual entailment, using MultiNLI), and regression (for measuringtext similarity, using STS-B).", tags: "BERT, binary classification, multi-class classification, regression", external:"true" %}

{% include partials/demo-card c-title: "Notebook usage", link: "https://colab.research.google.com/github/PAIR-code/lit/blob/main/lit_nlp/examples/notebooks/LIT_sentiment_classifier.ipynb",
{% include partials/external-demo-card c-title: "Notebook usage", link: "https://colab.research.google.com/github/PAIR-code/lit/blob/main/lit_nlp/examples/notebooks/LIT_sentiment_classifier.ipynb",
c-data-source: "Stanford Sentiment Treebank"
c-copy: "Use LIT directly inside a Colab notebook. Explore binary classification for sentiment analysis using SST2 from the General Language Understanding Evaluation (GLUE) benchmark suite.", tags: "BERT, binary classification, notebooks", external:"true" %}

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