Akruzen/Briefer
An Android application based on TensorFlow's BERT to perform NLP operations on runtime contents.
This Android app helps you understand lengthy text content by allowing you to dynamically add articles, reports, or any document you want to analyze. You put in your text, and it summarizes or answers questions about it. This tool is for anyone who needs to quickly grasp key information from documents on the go, such as students, researchers, or business professionals.
No commits in the last 6 months.
Use this if you need an offline tool on your Android phone to quickly get summaries or answers from long text documents.
Not ideal if you prefer a desktop application or need to process very large volumes of text across many documents simultaneously.
Stars
8
Forks
2
Language
Java
License
—
Category
Last pushed
Oct 07, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Akruzen/Briefer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
codertimo/BERT-pytorch
Google AI 2018 BERT pytorch implementation
JayYip/m3tl
BERT for Multitask Learning
920232796/bert_seq2seq
pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。
sileod/tasknet
Easy modernBERT fine-tuning and multi-task learning
graykode/toeicbert
TOEIC(Test of English for International Communication) solving using pytorch-pretrained-BERT model.