Updating README

README.md

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 # CAMeLBERT MSA NER Model
 ## Model description
-**CAMeLBERT MSA NER Model** is Named Entity Recognition (NER) model that was built by fine-tuning the [CAMeLBERT Modern Standard Arabic (MSA)](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa/) model. For the fine-tuning, we used the [ANERcorp](https://camel.abudhabi.nyu.edu/anercorp/) dataset. Our fine-tuning procedure and the hyperparameters we used can be found in our paper *"[The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models](https://arxiv.org/abs/2103.06678)."* Our fine-tuning code can be found [here](https://github.com/CAMeL-Lab/CAMeLBERT).
+**CAMeLBERT MSA NER Model** is a Named Entity Recognition (NER) model that was built by fine-tuning the [CAMeLBERT Modern Standard Arabic (MSA)](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa/) model. For the fine-tuning, we used the [ANERcorp](https://camel.abudhabi.nyu.edu/anercorp/) dataset. Our fine-tuning procedure and the hyperparameters we used can be found in our paper *"[The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models](https://arxiv.org/abs/2103.06678)."* Our fine-tuning code can be found [here](https://github.com/CAMeL-Lab/CAMeLBERT).
 
 ## Intended uses
-You can use the CAMeLBERT MSA NER Model directly as part of the transformers pipeline or as part of our [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools) NER component.
+You can use the CAMeLBERT MSA NER model directly as part of the transformers pipeline or as part of our [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools) NER component.
 
 #### How to use
 You can use this model directly with a pipeline to do NER: