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-1.0/README.md

README.md

@@ -0,0 +1,44 @@
+---
+language: zh
+---
+
+# ERNIE-1.0
+
+## Introduction
+
+ERNIE (Enhanced Representation through kNowledge IntEgration) is proposed by Baidu in 2019,
+which is designed to learn language representation enhanced by knowledge masking strategies i.e. entity-level masking and phrase-level masking. 
+Experimental results show that ERNIE achieve state-of-the-art results on five Chinese natural language processing tasks including natural language inference, 
+semantic similarity, named entity recognition, sentiment analysis and question answering. 
+
+More detail: https://arxiv.org/abs/1904.09223
+
+## Released Model Info
+
+|Model Name|Language|Model Structure|
+|:---:|:---:|:---:|
+|ernie-1.0| Chinese |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-1.0")
+model = AutoModel.from_pretrained("nghuyong/ernie-1.0")
+```
+
+## Citation
+
+```bibtex
+@article{sun2019ernie,
+  title={Ernie: Enhanced representation through knowledge integration},
+  author={Sun, Yu and Wang, Shuohuan and Li, Yukun and Feng, Shikun and Chen, Xuyi and Zhang, Han and Tian, Xin and Zhu, Danxiang and Tian, Hao and Wu, Hua},
+  journal={arXiv preprint arXiv:1904.09223},
+  year={2019}
+}
+```