Implementing Deep Learning-Based Approaches for Article Summarization in Indian Languages
Paper • 2212.05702 • Published
How to use l3cube-pune/gujarati-bart-summary with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/gujarati-bart-summary")
model = AutoModelForSeq2SeqLM.from_pretrained("l3cube-pune/gujarati-bart-summary")A summarization model trained on the ISum dataset.
More details can be found in our paper: https://arxiv.org/abs/2212.05702
Citing:
@article{tangsali2022implementing,
title={Implementing Deep Learning-Based Approaches for Article Summarization in Indian Languages},
author={Tangsali, Rahul and Pingle, Aabha and Vyawahare, Aditya and Joshi, Isha and Joshi, Raviraj},
journal={arXiv preprint arXiv:2212.05702},
year={2022}
}