Using a Transformer Model: From Training to Inference - 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 […]

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