Using a Transformer Model: From Training to Inference - MachineLearningMastery.com (machinelearningmastery.com)

If you have implemented a transformer model in PyTorch, you can use the same code for both training and inference, but in very different ways. During training, you usually process a batch of fixed-length token sequences and update the model weights. During inference, the weights are fixed and the model generates new tokens one at a time. This difference changes…