Update README.md

README.md

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 # CAMeLBERT MSA NER Model
 ## Model description
-**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).
+**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 our [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools) NER component (*recommended*) or as part of the transformers pipeline.
@@ -23,7 +26,6 @@ To use the model with the [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools
 >>> ['O', 'B-LOC', 'O', 'O', 'O', 'O', 'B-LOC', 'I-LOC', 'I-LOC', 'O']
 ```
 
-
 You can also use the NER model directly with a transformers pipeline:
 ```python
 >>> from transformers import pipeline
@@ -54,9 +56,8 @@ You can also use the NER model directly with a transformers pipeline:
   'start': 50,
   'end': 57}]
 ```
-*Note*: to download our models, you would need `transformers>=3.5.0`. Otherwise, you could download the models 
-
-
+*Note*: to download our models, you would need `transformers>=3.5.0`.
+Otherwise, you could download the models manually.
 
 ## Citation
 ```bibtex