# Sequence-to-sequence

A Russian abstract generation model fine-tuned on the gazeta dataset based on google/mt5-small

A fine-tuned Arabic dialect Latin script to English translation model based on Helsinki-NLP/opus-mt-ar-en

An Italian sequence-to-sequence model fine-tuned on IT5-large, specifically designed for inclusive language rewriting tasks

KoT5 is a Korean-English bilingual text generation model based on the T5 architecture, supporting tasks such as summarization and paraphrase generation.

This is a French-to-English text translation model based on Transformers, trained using AutoTrain.

A Bengali pre-trained model based on the sequence-to-sequence Transformer architecture, optimized for natural language generation tasks

BanglaT5 is a Bengali sequence-to-sequence transformer model pre-trained with Span Corruption objectives, achieving state-of-the-art performance in multiple Bengali natural language generation tasks.

Italian news summarization model fine-tuned on Fanpage and Il Post corpora based on the IT5 large model

IT5 is the first family of sequence-to-sequence Transformer models specifically pretrained at scale for Italian, following the T5 model approach.

Arabic language model trained on T5v1.1 small architecture, incorporating multiple Arabic datasets for training

IT5 is the first family of sequence-to-sequence Transformer models pretrained at scale for Italian, following the approach of the original T5 model.

IT5 is the first attempt at large-scale sequence-to-sequence Transformer model pretraining specifically for Italian, based on the T5 model architecture.

The first large-scale sequence-to-sequence Transformer model pre-trained specifically for Italian, based on the OSCAR corpus

This is a bart-large model fine-tuned on the SQuADv2 dataset for question-answering tasks, based on the BART architecture, suitable for natural language understanding and generation tasks.

A 4.7 billion parameter multilingual encoder-decoder model supporting translation from 7 languages to English

M2M100 is a multilingual encoder-decoder model supporting 9,900 translation directions across 100 languages

IT5 Small model fine-tuned on the WITS dataset, specifically designed for summarization tasks of Italian Wikipedia content.