# Text-to-Text Transformation

A T5-base model fine-tuned on the BoolQ dataset, specifically designed for generating true/false question-answer pairs.

OpenVINO IR format version of the T5-small model, supporting text generation, translation, and other tasks

An English question generation model fine-tuned from t5-small, designed to generate relevant questions from given text and answers.

This model is based on the T5-base architecture and fine-tuned on the SQuAD v1.1 dataset, specifically designed for question generation tasks.

This is a T5 model customized for Arabic and English tasks, serving as an alternative to the google/mt5-base model, with a smaller size and a focus on Arabic and English-related tasks.

This model is a fine-tuned T5-base model on Twitter sentiment extraction dataset, specifically designed for sentiment text segment extraction tasks.