<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/fab672fc18bd4febaaf8ec8737180920&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/fab672fc18bd4febaaf8ec8737180920-f62901726dc8c02e.gif</thumbnail_url><duration>183.928</duration><title>Installing and Using Tepfn for Model Predictions</title><description>In this video, I walk you through the installation of the Tepfn package in a cold-up environment, starting with the command to install it via pip. After successfully importing the necessary components, I demonstrate how to load example datasets and execute Tepfn for the first time. We encountered an authentication step for Hugging Face to download the tap event checkpoint, which required creating a token with specific permissions. I guide you through the process of obtaining this token and successfully authenticate to make our first prediction. Please ensure you follow the steps to set up your environment correctly and reach out if you have any questions!</description></oembed>