prakhar21/Writing-with-BERT
Using BERT for doing the task of Conditional Natural Language Generation by fine-tuning pre-trained BERT on custom dataset.
This tool helps content creators and marketers generate creative text by filling in blanks based on a starting prompt. You provide an initial sentence or phrase, and it generates a longer, coherent passage, perfect for drafting product descriptions or review responses. Anyone needing assistance in rapidly producing varied text content, like a copywriter or social media manager, would find this useful.
No commits in the last 6 months.
Use this if you need to quickly generate different versions of text based on a short input, especially for tasks like writing hotel reviews or marketing copy.
Not ideal if you need to generate highly factual or precise content where accuracy over creativity is paramount.
Stars
41
Forks
12
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 18, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/prakhar21/Writing-with-BERT"
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.