# Pretrained Language Model

Chronos is a family of pretrained time series forecasting models based on language model architectures, trained by quantizing and scaling time series into token sequences.

A Japanese GPT-NeoX model with 3.6 billion parameters, based on the Transformer architecture, trained on 312.5 billion tokens of Japanese corpus.

Pretrained BERT model for Brazilian Portuguese, achieving state-of-the-art performance in multiple NLP tasks

This is a German language model based on the GPT-2 architecture, specifically optimized for German text generation tasks.

KoBART is a Korean pretrained model based on the BART architecture, suitable for various Korean natural language processing tasks.

FinancialBERT is a BERT model pretrained on massive financial texts, aiming to advance research and practice in financial natural language processing.