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The pretrained model(s) we use in the transfer learning episode are quite large (relative to prev. examples in workshop at least). To speed things up, I'm going to recommend my learners use Google Colab for that episode, with the GPU enabled. I added this recommendation as a "spoiler" block so it doesn't take up too much of the episode real estate, for those that want to stick to the local setup. Those who wish to use Colab should follow the instructions added to the spoiler block.

On a related note, I will be adding another exercise to this lesson to explore finetuning. This is another motivating reason for why I really think a GPU is called for here. Plus, this is an opportunity to explain the importance of GPUs to learners.

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github-actions bot commented May 15, 2025

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github-actions bot pushed a commit that referenced this pull request May 15, 2025
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carschno commented Sep 1, 2025

I am very hesitant to actively recommend proprietary products as part of the teaching, even though I understand the advantages. We also refer to Binder instead, although we need to make sure it serves the purpose.
Anyway, running things locally would remain my preference, and is probably becoming a smaller problem.

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3 participants