T5 is encoder-decoder transformer available in rane of sizes from 60M - 11B parameters. Designed to handle a wide range of NLP tasks by treating them all as tex-to-text problems. This eliminates the ...

This repository demonstrates how to fine-tune the T5-small model on the CoNLL-2003 dataset for Named Entity Recognition (NER) using Low-Rank Adaptation (LoRA) — all done with pure PyTorch, without ...

“Can we build top-tier encoder-decoder models based on pretrained decoder-only models? We answer this question by exploring model adaptation,” the company explained in the blog post. T5Gemma includes ...