Topic: t5 Goto Github
Some thing interesting about t5
Some thing interesting about t5
t5,Trained T5 and T5-large model for creating keywords from text
User: 0x7o
Home Page: https://0x7o.link/keyt5/
t5,bert_seq2seq的DDP版本,支持bert、roberta、nezha、t5、gpt2等模型,支持seq2seq、ner、关系抽取等任务,无需添加额外代码,轻松启动DDP多卡训练。
User: 920232796
t5,Github repo with tutorials to fine tune transformers for diff NLP tasks
User: abhimishra91
t5,A bentoML-powered API to transcribe audio and make sense of it
User: ahmedbesbes
t5,NLP model zoo for Russian
Organization: ai-forever
t5,Abstractive and Extractive Text summarization using Transformers.
User: aj-naik
t5,An NLP system for generating reading comprehension questions
User: amontgomerie
t5,Multilingual/multidomain question generation datasets, models, and python library for question generation.
User: asahi417
Home Page: https://www.autoqg.net
t5,Crosslingual Generalization through Multitask Finetuning
Organization: bigscience-workshop
Home Page: https://arxiv.org/abs/2211.01786
t5,Turkish LM Tuner
Organization: boun-tabi-lmg
Home Page: https://boun-tabi-lmg.github.io/turkish-lm-tuner/
t5,Frame Semantic Parser based on T5 and FrameNet
User: chanind
Home Page: https://chanind.github.io/frame-semantic-transformer
t5,Chef Transformer 🍲 .
Organization: chef-transformer
t5,Source code for Dialogue State Tracking with a Language Model using Schema-Driven Prompting
User: chia-hsuan-lee
t5,A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users
Organization: citiususc
t5,This repository contains the official release of the model "BanglaT5" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaNLG: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla".
User: csebuetnlp
t5,Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Organization: dbiir
Home Page: https://github.com/dbiir/UER-py/wiki
t5,Transformers 3rd Edition
User: denis2054
t5,MinT: Minimal Transformer Library and Tutorials
User: dpressel
t5,Code and data for crosstalk text generation tasks, exploring whether large models and pre-trained language models can understand humor.
Organization: freedomintelligence
t5,The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)
User: gentaiscool
t5,Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP
User: gsarti
t5,Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data
Organization: hirupert
t5,中文AI写作(写诗或写对联)
User: hululuzhu
t5,RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!
User: joaolages
t5,Gateway into the John Snow Labs Ecosystem
Organization: johnsnowlabs
Home Page: https://nlp.johnsnowlabs.com
t5,1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
Organization: johnsnowlabs
t5,Awesome series for Large Language Model(LLM)s
User: kennethanceyer
Home Page: https://github.com/KennethanCeyer/awesome-llm
t5,⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
User: ki6an
t5,Official Code for SIGIR 2022 "A Multi-task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems". User Simulator generates user-side utterance, predicts user's next action and satisfaction level.
User: kimdanny
t5,Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.
User: kristiyanvachev
t5,Open Source Modding Tools for old Call Of Duty games
User: laupetin
Home Page: https://openassettools.dev
t5,PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf
User: lyutyuh
t5,Codes to pre-train Japanese T5 models
Organization: megagonlabs
Home Page: https://huggingface.co/megagonlabs/t5-base-japanese-web
t5,VisText is a benchmark dataset for semantically rich chart captioning.
Organization: mitvis
Home Page: http://vis.csail.mit.edu/pubs/vistext/
t5,Automated question generation and question answering from Turkish texts using text-to-text transformers
Organization: obss
Home Page: https://journals.tubitak.gov.tr/elektrik/vol30/iss5/17/
t5,Neural question generation using transformers
User: patil-suraj
t5,Demo of the T5 model for various pre-trained task.
User: prakhar21
t5,This repository contains the code to train flan t5 with alpaca instructions and low rank adaptation.
User: reason-wang
t5,FTPipe and related pipeline model parallelism research.
User: saareliad
t5,pycorrector is a toolkit for text error correction. 文本纠错,实现了Kenlm,T5,MacBERT,ChatGLM3,LLaMA等模型应用在纠错场景,开箱即用。
User: shibing624
Home Page: https://www.mulanai.com/product/corrector/
t5,TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型,实现了包括LLaMA,ChatGLM,BLOOM,GPT2,Seq2Seq,BART,T5,UDA等模型的训练和预测,开箱即用。
User: shibing624
t5,KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction
User: shivanandroy
t5,simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
User: shivanandroy
t5,Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
Organization: tencent
Home Page: https://github.com/Tencent/TencentPretrain/wiki
t5,Codes for our paper "JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs" (ACL 2021 Findings)
Organization: thu-coai
t5,AraT5: Text-to-Text Transformers for Arabic Language Understanding
Organization: ubc-nlp
t5,Official implementation of the paper "CoEdIT: Text Editing by Task-Specific Instruction Tuning" (EMNLP 2023)
User: vipulraheja
Home Page: https://aclanthology.org/2023.findings-emnlp.350/
t5,A package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+
User: wangcongcong123
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