T5 Text-to-Text Transformers

70 repos across 4 sub-areas

Pre-trained and fine-tuned variants of the T5 (Text-to-Text Transfer Transformer) model family, including base, small, and extra-large configurations optimized for various domains like biomedical text (Pubmed/PMC), Chinese language tasks, and general text generation. These repositories provide model weights, inference endpoints, and implementations compatible with the Hugging Face Transformers library for tasks spanning machine translation, summarization, question answering, and other sequence-to-sequence problems.