T-5 Model: 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 ...

Unlike the current trend that favours decoder-only LLMs, T5Gemma revisits the classic encoder-decoder architecture used in models like T5. The company introduced an adaptation technique that converts ...

🧠 Fine-Tuning T5-small for Named Entity Recognition using LoRA (Pure PyTorch) This repository demonstrates how to fine-tune the T5-small model on the CoNLL-2003 dataset for Named Entity Recognition ...