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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, <a href="https://www.eventbrite.com/e/how-to-teach-open-source-machine-learning-tools-tickets-310980931337" class="underline">you can now register for the workshope</a> that we will be held on June 6, 6 pm (CET) ! </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, <a href="https://www.eventbrite.com/e/how-to-teach-open-source-machine-learning-tools-tickets-310980931337" class="underline">you can now register for the workshop</a> that we will be held on June 6, 6 pm (CET) ! </strong>
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  </p>