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README.md
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Controlled Text Reduction
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Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan, 2022. [PDF](https://arxiv.org/abs/2210.13449)
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**How to use?**
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("biu-nlp-led-base-controlled-text-reduction")
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model = AutoModelForSeq2SeqLM.from_pretrained("biu-nlp-led-base-controlled-text-reduction")
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```
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The original repo is [here](https://github.com/lovodkin93/Controlled_Text_Reduction).
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If you find our work useful, please cite the paper as:
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```python
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@misc{https://doi.org/10.48550/arxiv.2210.13449,
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doi = {10.48550/ARXIV.2210.13449},
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url = {https://arxiv.org/abs/2210.13449},
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author = {Slobodkin, Aviv and Roit, Paul and Hirsch, Eran and Ernst, Ori and Dagan, Ido},
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keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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title = {Controlled Text Reduction},
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publisher = {arXiv},
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year = {2022},
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copyright = {Creative Commons Zero v1.0 Universal}
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}
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```
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