readme: Controlled Text Reduction
  Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan, 2022. [PDF](https://arxiv.org/abs/2210.13449)
  
  **How to use?**
  
  ```python
  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](https://github.com/lovodkin93/Controlled_Text_Reduction).
  
  
  If you find our work useful, please cite the paper as:
  
  ```python
  @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}
  }
  
  ```
  