This repository provides two transformer models for time series prediction tasks. The single-step model predicts the next time point given a sequence, while the multi-step model generates longer sequences by autoregressive prediction. Both implementations use PyTorch and were trained on temperature datasets as demonstration. The author explicitly recommends production-grade alternatives like flow-forecast for real-world use cases.