Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
keeping top-k tokens at each time step instead of the argmax) and return the sequence with the highest total probability. For now, let’s implement greedy decoding and add it to our Transformer model: def predict( self, x: torch.Tensor, sos_idx: int=1, eos_idx: int=2, max_length: int=None ) ->