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Training models from scratch requires way too much data, time, and computing power (or money) to be a practical option. This is why transfer learning has become such a common practice: by starting with models trained on related problems, you are saving time and achieving good results with little data.

Now, where do you find such models?

In this workshop, we will have a look at some of the most popular pre-trained models repositories and libraries (Model Zoo, PyTorch Hub, and Hugging Face); see how you can also search models in the literature and on GitHub, and finally learn how to import models into PyTorch.