Migrate model card from transformers-repo

Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/nghuyong/ernie-2.0-en/README.md

README.md

@@ -0,0 +1,43 @@
+---
+language: en
+---
+
+# ERNIE-2.0
+
+## Introduction
+
+ERNIE 2.0 is a continual pre-training framework proposed by Baidu in 2019, 
+which builds and learns incrementally pre-training tasks through constant multi-task learning. 
+Experimental results demonstrate that ERNIE 2.0 outperforms BERT and XLNet on 16 tasks including English tasks on GLUE benchmarks and several common tasks in Chinese. 
+
+More detail: https://arxiv.org/abs/1907.12412
+
+## Released Model Info
+
+|Model Name|Language|Model Structure|
+|:---:|:---:|:---:|
+|ernie-2.0-en| English |Layer:12, Hidden:768, Heads:12|
+
+This released pytorch model is converted from the officially released PaddlePaddle ERNIE model and 
+a series of experiments have been conducted to check the accuracy of the conversion.
+
+- Official PaddlePaddle ERNIE repo: https://github.com/PaddlePaddle/ERNIE
+- Pytorch Conversion repo:  https://github.com/nghuyong/ERNIE-Pytorch
+
+## How to use
+```Python
+from transformers import AutoTokenizer, AutoModel
+tokenizer = AutoTokenizer.from_pretrained("nghuyong/ernie-2.0-en")
+model = AutoModel.from_pretrained("nghuyong/ernie-2.0-en")
+```
+
+## Citation
+
+```bibtex
+@article{sun2019ernie20,
+  title={ERNIE 2.0: A Continual Pre-training Framework for Language Understanding},
+  author={Sun, Yu and Wang, Shuohuan and Li, Yukun and Feng, Shikun and Tian, Hao and Wu, Hua and Wang, Haifeng},
+  journal={arXiv preprint arXiv:1907.12412},
+  year={2019} 
+}
+```