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update model card

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  1. README.md +13 -16
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@@ -12,23 +12,20 @@ Pretrained BERT Large language model for Arabic
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  _If you use this model in your work, please cite this paper:_
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- <!--```
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- @inproceedings{
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- title={KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media},
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- author={Safaya, Ali and Abdullatif, Moutasem and Yuret, Deniz},
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- booktitle={Proceedings of the International Workshop on Semantic Evaluation (SemEval)},
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- year={2020}
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- }
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- ```-->
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  ```
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- @misc{safaya2020kuisail,
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- title={KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media},
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- author={Ali Safaya and Moutasem Abdullatif and Deniz Yuret},
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- year={2020},
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- eprint={2007.13184},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL}
 
 
 
 
 
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  }
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  ```
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@@ -60,7 +57,7 @@ You can use this model by installing `torch` or `tensorflow` and Huggingface lib
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  from transformers import AutoTokenizer, AutoModel
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  tokenizer = AutoTokenizer.from_pretrained("asafaya/bert-large-arabic")
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- model = AutoModel.from_pretrained("asafaya/bert-large-arabic")
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  ```
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  ## Results
 
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  _If you use this model in your work, please cite this paper:_
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  ```
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+ @inproceedings{safaya-etal-2020-kuisail,
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+ title = "{KUISAIL} at {S}em{E}val-2020 Task 12: {BERT}-{CNN} for Offensive Speech Identification in Social Media",
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+ author = "Safaya, Ali and
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+ Abdullatif, Moutasem and
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+ Yuret, Deniz",
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+ booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
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+ month = dec,
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+ year = "2020",
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+ address = "Barcelona (online)",
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+ publisher = "International Committee for Computational Linguistics",
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+ url = "https://www.aclweb.org/anthology/2020.semeval-1.271",
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+ pages = "2054--2059",
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  }
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  ```
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  from transformers import AutoTokenizer, AutoModel
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  tokenizer = AutoTokenizer.from_pretrained("asafaya/bert-large-arabic")
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+ model = AutoModelForMaskedLM.from_pretrained("asafaya/bert-large-arabic")
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  ```
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  ## Results