t5

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Neural question generation using transformers

Github repo with tutorials to fine tune transformers for diff NLP tasks

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

An NLP system for generating reading comprehension questions

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data

A package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+

Demo of the T5 model for various pre-trained task.

NLP model zoo for Russian

Supervised text summarization (title generation/recommendation) based on academic paper abstracts, with Seq2Seq LSTM and the power of Transfer Learning and T5.

Detection of Emotion and its cause from text

[제 11회 투빅스 컨퍼런스] AM I OK ? - 전문의 답변 기반 심리진단 AI

Comparing state of the art models for text summary generation

Chef Transformer 🍲

Elasticsearch with T5/Bert/Other models provided by huggingface Transfomers.

Conversational T5 model, finetuned for long-context conversational tasks

The Bot Warfare mod for Black Ops 1

Using pretrained T5 model for abstractive summarization of books

LilyGO T5 meteo gadget

The repository contains model implementations and data described in the paper: From Dataset Recycling to Multi-Property Extraction and Beyond.

Comparing M2M and mT5 on a rare language pairs, blog post: https://medium.com/@abdessalemboukil/comparing-facebooks-m2m-to-mt5-in-low-resources-translation-english-yoruba-ef56624d2b75

Text summarization refers to the technique of shortening long pieces of text. The intention is to create a coherent and fluent summary having only the main points outlined in the document. Automatic text summarization is a common problem in machine learning and natural language processing (NLP).Text summarization is the problem of creating a short, accurate, and fluent summary of a longer text document. Automatic text summarization methods are greatly needed to address the ever-growing amount of text data available online to both better help discover relevant information and to consume relevant information faster.

Repositorio no oficial de getREKT (con su proyecto T5M) en Español.

Abstractive Summarization for Data Augmentation

A web app that is made to scan handwritten text and convert it to typed one and then performs tasks like translation and summarization of that text and this app has mode which let you find details of any medicine just by scanning it.

Qiitaの記事本文を与えるとタイトルを自動生成してくれる深層学習モデルの推論処理

Transformers Workshop on behalf of ML India. Contains resource notebook for training/inferring large scale transformer models for different downstream task