# T5 Architecture

A text summarization model fine-tuned on the XSum dataset based on T5-small

kazRush-ru-kk is a Russian-to-Kazakh translation model based on the T5 configuration, trained on multiple open-source parallel datasets.

A Russian dialogue summarization model fine-tuned on d0rj/rut5-base-summ, trained on the DialogSum dataset

A pre-trained model based on the T5 architecture that can convert English sentences into emoji sequences

A government report summarization model based on the Long-T5 architecture, specifically optimized for long document summarization tasks

An English event reasoning model based on the T5 architecture, used to analyze event prerequisites, effects, intentions, and reactions

A grammar correction model fine-tuned based on the t5-base model for detecting and correcting grammatical errors in text

MOLT5-small is a molecular and natural language conversion model based on a pre - trained model, which can realize the mutual conversion between molecular structures and natural language descriptions.

molt5-base is a model based on the T5 architecture, specifically designed for translation tasks between molecules and natural language.

A classifier based on the T5-small architecture, used to evaluate the importance of answer/question pairs and determine whether the answer is sufficiently relevant to appear in a summary.

PTT5 is a T5 model pretrained on the BrWac corpus, specifically optimized for Portuguese, offering multiple sizes and vocabulary choices.

English sentence paraphrase generation model based on T5 architecture, trained using Google PAWS dataset

A T5-small model pretrained on the Indonesian mC4 dataset, requires fine-tuning before use

A grammar error correction model based on the T5-small architecture, designed to automatically detect and correct grammatical errors in English text.

A Q&A system model based on T5-small architecture, supporting extractive Q&A tasks and capable of handling both answerable and unanswerable scenarios

This is a paraphrase model based on the T5-base architecture, fine-tuned on the PAWS, MSRP, and Opinosis datasets, primarily used for text paraphrasing and rewriting tasks.

T5 model trained on the WikiKG90Mv2 dataset for tail entity prediction tasks in knowledge graphs

This model is a fine-tuned T5 architecture for news summarization, trained on the CNN/DailyMail news dataset.

A pre-trained model based on the T5 architecture, specifically designed for Java API recommendation generation tasks, optimized through multi-task training

A query generation model based on the T5-base architecture, used to generate potential search queries for text passages, enabling the training of semantic search models without labeled data

Java API recommendation generation model pre-trained on T5-small architecture, optimized through multi-task training and fine-tuning

KE-T5 is a Korean-English bilingual text generation model based on the T5 architecture, developed by the Korea Electronics Technology Institute, supporting cross-lingual knowledge transfer for dialogue generation tasks.