# Multi-task Transfer Learning

OceanSAR-1 is a vision foundation model specifically designed for Synthetic Aperture Radar (SAR) image analysis, particularly suitable for ocean observation tasks.

A Korean natural language inference model based on the DeBERTa architecture, trained on the kor-nli and klue-nli datasets, supporting zero-shot classification tasks.

T5 1.1 is Google's improved text-to-text Transformer model, employing GEGLU activation function and pure unsupervised pretraining strategy

A Swedish text generation and translation model based on the T5 architecture, suitable for summarization and translation tasks.

T5 1.1 is Google's improved text-to-text transfer model, utilizing the GEGLU activation function and optimized architecture, focused on unsupervised pretraining

T5-11B is a text-to-text transfer Transformer model developed by Google, with 11 billion parameters, supporting various NLP tasks.