# Language Model Architecture

Chronos is a family of pre-trained time series forecasting models based on language model architecture, which transforms time series into token sequences for training through quantization and scaling.

Chronos is a family of pretrained time series forecasting models based on language model architecture, which supports probabilistic forecasting by converting time series into token sequences for training.

Chronos is a family of pre-trained time series forecasting models based on language model architectures, which transform time series into token sequences for training through quantization and scaling.

Chronos is a family of pre-trained time series forecasting models based on language model architecture, which transforms time series into token sequences for training to achieve probabilistic forecasting.

Chronos is a family of pre-trained time series forecasting models based on language model architectures. It converts time series into token sequences through quantization and scaling for training, suitable for probabilistic forecasting tasks.

Chronos-T5 is a pretrained time series forecasting model based on a language model architecture, achieving probabilistic forecasting by converting time series into token sequences and training the language model using cross-entropy loss.