# Text-to-text conversion

ViT5-base is a Transformer-based pre-trained encoder-decoder model for Vietnamese, supporting various text generation tasks.

Advanced pre-trained encoder-decoder model for Vietnamese based on Transformer architecture

T5 Version 1.1 is Google's improved text-to-text conversion model, using the GEGLU activation function, pretrained unsupervised only on the C4 dataset, and requires fine-tuning for use.

The LM adapted version of T5 Version 1.1 is a large-scale language model based on the T5 architecture, optimized for language modeling objectives, improving performance in prompt tuning.

The LM adapted version of T5 Version 1.1 is an improved text generation model based on the T5 architecture, further trained with language modeling objectives to enhance prompt tuning capabilities.

T5-3B is a 3-billion-parameter text-to-text transfer Transformer model developed by Google, employing a unified text-to-text framework to handle various NLP tasks.

T5-Large is a text-to-text transfer Transformer model developed by Google with 770 million parameters, supporting various NLP tasks.