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adding inferrence tutorial
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tutorial_advanced.html

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@@ -90,6 +90,31 @@ <h3>SpeechBrain Advanced</h3>
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<a class="active" href="#">SpeechBrain Advanced</a>
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<ul class="blog_meta list">
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<li><a href="about.html">Parcollet T.<i class="lnr lnr-user"></i></a></li>
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<li><a href="#">Sept.. 2021<i class="lnr lnr-calendar-full"></i></a></li>
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<li><a href="#">Difficulty: medium<i class="lnr lnr-cog"></i></a></li>
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<li><a href="#">Time: 30min<i class="lnr lnr-hourglass"></i></a></li>
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<h2>Inferring on your own SpeechBrain models</h2>
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<p>In this tutorial, we will learn the three different ways of inferring on a trained model.
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This is particularly useful to debug your pipeline or to deploy a model in a production context.</p>
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<a href="https://colab.research.google.com/drive/1137MD-gAERblRAVhxDnwNXV3YyAiwtxV?usp=sharing" class="blog_btn">Open in Google Colab</a>
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<h2>Data Loading for Big Datasets and Shared Filesystems</h2>
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<p>Do you have a huge dataset stored in a shared file system? This tutorial will show you how to load large datasets from the shared file system and use them for training a neural network with SpeechBrain.
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<p>Do you have a huge dataset stored in a shared file system? This tutorial will show you how to load large datasets from the shared file system and use them for training a neural network with SpeechBrain.
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In particular, we describe a solution based on the WebDataset library, that is easy to integrate within the SpeechBrain toolkit. </p>
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<a href="https://colab.research.google.com/drive/1s171JSA53_ktvc1zQp6uMcM0TChtCcZ9?usp=sharing" class="blog_btn">Open in Google Colab</a>
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