Update README.md

README.md

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 ## Model description
 **CAMeLBERT-Mix NER Model** is a Named Entity Recognition (NER) model that was built by fine-tuning the [CAMeLBERT Mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-mix/) 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).
+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-Mix 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.
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 #### How to use
 To use the model with the [CAMeL Tools](https://github.com/CAMeL-Lab/camel_tools) NER component:
 ```python
@@ -52,7 +55,9 @@ 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
 @inproceedings{inoue-etal-2021-interplay,