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led-base-controlled-text-reduction
biu-nlp/led-base-controlled-text-reduction
led-base-controlled-text-reduction is a machine learning model from biu-nlp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Controlled Text Reduction Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan, 2022. PDF
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At a glance
- Library
- transformers
- Model type
- led
- Access
- Public
- Created
- Dec 26, 2022
- Updated
- Dec 26, 2022
- SHA
- fc26d880
Model card
From the Hugging Face model README
Controlled Text Reduction Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan, 2022. PDF
How to use?
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("biu-nlp/led-base-controlled-text-reduction")
model = AutoModelForSeq2SeqLM.from_pretrained("biu-nlp/led-base-controlled-text-reduction")
The original repo is here.
If you find our work useful, please cite the paper as:
@misc{https://doi.org/10.48550/arxiv.2210.13449,
doi = {10.48550/ARXIV.2210.13449},
url = {https://arxiv.org/abs/2210.13449},
author = {Slobodkin, Aviv and Roit, Paul and Hirsch, Eran and Ernst, Ori and Dagan, Ido},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Controlled Text Reduction},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Zero v1.0 Universal}
}
- Library
- transformers
- Type
- led
- Created
- Dec 26, 2022
- Updated
- Dec 26, 2022