Create README.md (#7625)

* Create README.md

* Update model_cards/lanwuwei/GigaBERT-v3-Arabic-and-English/README.md

* Update model_cards/lanwuwei/GigaBERT-v3-Arabic-and-English/README.md

Co-authored-by: Julien Chaumond <chaumond@gmail.com>

model_cards/lanwuwei/GigaBERT-v3-Arabic-and-English/README.md

@@ -0,0 +1,27 @@
+---
+language:
+- en
+- ar
+datasets:
+- gigaword
+- oscar
+- wikipedia
+---
+
+## GigaBERT-v3
+GigaBERT-v3 is a customized bilingual BERT for English and Arabic. It was pre-trained in a large-scale corpus (Gigaword+Oscar+Wikipedia) with ~10B tokens, showing state-of-the-art zero-shot transfer performance from English to Arabic on information extraction (IE) tasks. More details can be found in the following paper:
+
+	@inproceedings{lan2020gigabert,
+	  author     = {Lan, Wuwei and Chen, Yang and Xu, Wei and Ritter, Alan},
+  	  title      = {GigaBERT: Zero-shot Transfer Learning from English to Arabic},
+  	  booktitle  = {Proceedings of The 2020 Conference on Empirical Methods on Natural Language Processing (EMNLP)},
+  	  year       = {2020}
+  	} 
+
+## Usage
+```
+from transformers import *
+tokenizer = BertTokenizer.from_pretrained("lanwuwei/GigaBERT-v3-Arabic-and-English", do_lower_case=True)
+model = BertForTokenClassification.from_pretrained("lanwuwei/GigaBERT-v3-Arabic-and-English")
+```
+More code examples can be found [here](https://github.com/lanwuwei/GigaBERT).