NasrinRipa/Multilabel-Book-Genre-Cover-Hues
A multi-label text classifier model which can suggest cover page colors based on the description(with/without title) and genres of a particular book. The predicted set of colors (10 colors) can also be used to generate multi-color Barcode for the book, where we can use the prediction % as the width of the bars.
No commits in the last 6 months.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 02, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/NasrinRipa/Multilabel-Book-Genre-Cover-Hues"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lonePatient/Bert-Multi-Label-Text-Classification
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text...
mim-solutions/bert_for_longer_texts
BERT classification model for processing texts longer than 512 tokens. Text is first divided...
OctoberChang/X-Transformer
X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
QData/LaMP
ECML 2019: Graph Neural Networks for Multi-Label Classification
illiterate/BertClassifier
基于PyTorch的BERT中文文本分类模型（BERT Chinese text classification model implemented by PyTorch）