Video: Keynote @ PyCon Sweden 2022
In this session, after a brief intro, I use Hugging Face AutoTrain to train a food image classification model on the food101 dataset. Then, using a Stable Diffusion model, I generate images to add a new food class to the dataset (meatballs, of course) and I retrain the model with Python and the Hugging Face Transformers library. Finally, I deploy the model with Hugging Face Inference Endpoints. And of course, I answer questions!