# T5 architecture

A code processing model fine-tuned based on Salesforce/codet5-base, focusing on Python code-related tasks

Chronos-Bolt is a series of pre-trained time series forecasting models that support zero-shot prediction, based on the T5 encoder-decoder architecture, trained on nearly 100 billion time series observations.

A Hausa-to-Chinese translation model fine-tuned based on T5-small, achieving a BLEU score of 30.26

Portuguese (Brazil) text summarization model based on FLAN-T5, optimized through instruction fine-tuning

Russian spelling correction model based on FRED-T5-large, capable of correcting spelling, punctuation, and capitalization errors

This is a multilingual machine translation model based on the T5 architecture, supporting translation between English, Russian, and Chinese.

A multilingual translation model based on the T5 architecture, supporting bidirectional translation between Russian, Chinese, and English

A grammar correction model built on the jfleg dataset, using the t5-base architecture, focused on English grammar correction.

FLAN-T5-based bilingual translation model supporting mutual translation between English and Indonesian

A Brazilian Portuguese abstractive text summarization model fine-tuned on PTT5, supporting summarization for various text types including news.

A text summarization model fine-tuned based on google/long-t5-tglobal-base, performing well on XSum and CNN/DailyMail datasets.

T5-small-ssm-nq is a small closed-book QA model based on the T5 architecture, pre-trained and fine-tuned on C4, Wikipedia, and Natural Questions (NQ) datasets.

A Russian text detoxification model trained on ruT5-base, used to convert toxic Russian text into neutral expressions.

A trivia QA model based on T5-base architecture, achieving closed-book QA capability through context-free training

ByT5 is Google's tokenizer-free version of T5, directly processing UTF-8 byte sequences with native multilingual text handling, especially excelling at noisy data.

PLSUM is a multi-document extractive summarization model for Portuguese, capable of extracting key sentences from multiple documents and generating Wikipedia-like summaries.

A keyword-to-text generation model based on T5-small architecture that converts input keywords into coherent sentences

This is a Russian abstractive summarization model based on the T5 architecture and fine-tuned on multiple datasets, capable of generating concise and accurate text summaries.

Pre-trained API recommendation generation model based on T5 Small architecture, specifically designed for Java programming tasks

Vietnamese-English machine translation model based on T5 architecture

A text summarization model fine-tuned on German datasets based on the T5-Base architecture