readme: Pretrained models for our paper (https://arxiv.org/abs/2210.10258)
  ```bibtex
  @inproceedings{wu-etal-2022-continued,
      title = "Continued Pretraining for Better Zero- and Few-Shot Promptability",
      author = "Zhaofeng Wu and Robert L. Logan IV and Pete Walsh and Akshita Bhagia and Dirk Groeneveld and Sameer Singh and Iz Beltagy",
      booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
      month = dec,
      year = "2022",
      publisher = "Association for Computational Linguistics",
  }
  ```
  
  Please see the "Files and versions" tab for the models. We release our MTL models (notated MTL-T🔥P🔥 in our paper) and the meta-learned models, with different sizes and prompt configurations.