Topic: t5-base Goto Github
Some thing interesting about t5-base
Some thing interesting about t5-base
t5-base,This repository contains the code and outputs for the CS505: Natual Language Processing course project. The objective of this work is to explore the performance of different machine learning models in generating commit messages from changes in code.
User: appledora
t5-base,An agent-based, peer-to-peer, chat/social messaging application, intended for users that speak differing native languages. Built atop Fetch.ai's uAgents framework and t5-base integration.
User: bgoober
t5-base,A resume matching tool. Finds the top 5 best matching resumes for each job description provided.
User: ciryandil
t5-base,Finetuned FLAN-T5 to translate English to Hawaiian Pidgin
User: claudiatang-git
Home Page: https://huggingface.co/claudiatang/flan-t5-base-eng-hwp
t5-base,Repository containing the project for the course on Business and Project Management at the University of Pisa (A.Y. 2022/2023) realized by Fabiano Pilia, Emanuele Tinghi and Matteo Dal Zotto.
User: fabi8997
t5-base,Thesis scope: Train and Develop a Table-to-Text Transformer-based model for contextual summarization of tabular data. To achieve this T5-small , T5-base, Bart-base and Llama2 7B chat were finetuned on ToTTo and QTSumm. Regarding ToTTo, the models outperformed the benchmark.
User: justdepie
t5-base,A news headline generator finetuned on T5-base.
User: ksgr5566
t5-base,A NLP based summarizer which can summarize news article.
User: marufc36
t5-base,A django application that allows you to summarize the content of a press article found by a user. It uses the T5 model for summarization, the LDA algorithm for topic modeling and Selenium to scrape the content of the linked article.
User: michalsuchocki
t5-base,Fine-tuning the T5-base model using parts of the CNN/DailyMail dataset using PyTorch Lightning.
User: michalsuchocki
t5-base,finetuning t5-base model for detoxifying texts.
User: ribin-baby
t5-base,This project summarizes large text from any article to a smaller version without any loss in context. It uses the T5 Base transformer model.
User: shshwtsrkr
t5-base,Fine-Tuning LLM for summarization in Portuguese (T5)
User: victorngomes
t5-base,German-to-English fine-tuned T5 base model with dependency-parsing enhancement.
User: yonatanko
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