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README.md

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 # BERT base trained on 500k Arabic NLI triplets
 
-This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02). 
+It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, 
+paraphrase mining, text classification, clustering, and more. 
+Most of the contents of this card are auto-generated. The dataset used was normalized before training, so it is recommended to normalize your queries and documents: 
+```python
+from unicodedata import normalize
+query_n = normalize('NFKC', query)
+```
 
 ## Model Details