 Framework versions  - Transformers>=4.8.0 - Pytorch>=1.6.0 - Datasets>=1.10.2 - Tokenizers>=0.10.3  If you use this model, please cite the following paper:  ``` @inproceedings{10.1145/3508546.3508640,     author = {Sroch, Rohit},     title = {Domain Adapted Abstractive Summarization of Dialogue Using Transfer Learning},     year = {2021},     isbn = {9781450385053},     publisher = {Association for Computing Machinery},     address = {New York, NY, USA},     url = {https://doi.org/10.1145/3508546.3508640},     doi = {10.1145/3508546.3508640},     articleno = {94},     numpages = {6},     keywords = {encoder-decoder, T5, abstractive summary, PEGASUS, BART, dialogue summarization, PLMs, BERT},     location = {Sanya, China},     series = {ACAI'21} }  ```