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  We’ve assembled a <a href="https://hf.co/teaching" class="underline">toolkit that university instructors can use</a> to easily prepare labs, homework, or classes. The content is designed in a self-contained way such that it can easily be incorporated into the existing curriculum. This content is free and uses widely known Open Source technologies (transformers, gradio, etc).
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- <strong> 🤗 If you are a professor teaching ML undergraduate classes and you are willing to teach how to build Machine Learning collaboratively, join this workshop page! As we are gathering more than 20 members, we will organize a workshop. The "SAVE THE DATE" is coming soon! </strong>
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  We’ve assembled a <a href="https://hf.co/teaching" class="underline">toolkit that university instructors can use</a> to easily prepare labs, homework, or classes. The content is designed in a self-contained way such that it can easily be incorporated into the existing curriculum. This content is free and uses widely known Open Source technologies (transformers, gradio, etc).
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  </p>
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+ <strong> 🤗 If you are a professor teaching ML undergraduate classes and you are willing to teach how to build Machine Learning collaboratively, join this workshop page! As we are gathering more than 20 members, you can now register for the workshop that we will be held on June 6, 6 pm (CET) https://www.eventbrite.com/e/how-to-teach-open-source-machine-learning-tools-tickets-310980931337! </strong>
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  </p>