 The following model is a Pytorch pre-trained model obtained from converting Tensorflow checkpoint found in the [official Google BERT repository](https://github.com/google-research/bert).   This is one of the smaller pre-trained BERT variants, together with [bert-mini](https://huggingface.co/prajjwal1/bert-mini) [bert-small](https://huggingface.co/prajjwal1/bert-small) and [bert-medium](https://huggingface.co/prajjwal1/bert-medium). They were introduced in the study `Well-Read Students Learn Better: On the Importance of Pre-training Compact Models` ([arxiv](https://arxiv.org/abs/1908.08962)), and ported to HF for the study `Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics` ([arXiv](https://arxiv.org/abs/2110.01518)). These models are supposed to be trained on a downstream task.  If you use the model, please consider citing both the papers: ``` @misc{bhargava2021generalization,       title={Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics},        author={Prajjwal Bhargava and Aleksandr Drozd and Anna Rogers},       year={2021},       eprint={2110.01518},       archivePrefix={arXiv},       primaryClass={cs.CL} }  @article{DBLP:journals/corr/abs-1908-08962,   author    = {Iulia Turc and                Ming{-}Wei Chang and                Kenton Lee and                Kristina Toutanova},   title     = {Well-Read Students Learn Better: The Impact of Student Initialization                on Knowledge Distillation},   journal   = {CoRR},   volume    = {abs/1908.08962},   year      = {2019},   url       = {http://arxiv.org/abs/1908.08962},   eprinttype = {arXiv},   eprint    = {1908.08962},   timestamp = {Thu, 29 Aug 2019 16:32:34 +0200},   biburl    = {https://dblp.org/rec/journals/corr/abs-1908-08962.bib},   bibsource = {dblp computer science bibliography, https://dblp.org} }  ``` Config of this model: - `prajjwal1/bert-tiny` (L=2, H=128) [Model Link](https://huggingface.co/prajjwal1/bert-tiny)   Other models to check out: - `prajjwal1/bert-mini` (L=4, H=256) [Model Link](https://huggingface.co/prajjwal1/bert-mini) - `prajjwal1/bert-small` (L=4, H=512) [Model Link](https://huggingface.co/prajjwal1/bert-small) - `prajjwal1/bert-medium` (L=8, H=512) [Model Link](https://huggingface.co/prajjwal1/bert-medium)  Original Implementation and more info can be found in [this Github repository](https://github.com/prajjwal1/generalize_lm_nli).  Twitter: [@prajjwal_1](https://twitter.com/prajjwal_1) 