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@@ -12,7 +12,8 @@ This is a very light weigh model and could be used in multiple analytical applic
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  Based on [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) (MobileBERT is a thin version of BERT_LARGE, while equipped with bottleneck structures and a carefully designed balance between self-attentions and feed-forward networks). This model detects SQLInjection attacks in the input string (check How To Below). This is a very very light model (100mb) and can be used for edge computing use cases. Used dataset from [Kaggle](www.kaggle.com) called [SQl_Injection](https://www.kaggle.com/datasets/sajid576/sql-injection-dataset).
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  **Please test the model before deploying into any environment**.
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  Contact us for more info: [email protected]
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  ## Model Details
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  Based on [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) (MobileBERT is a thin version of BERT_LARGE, while equipped with bottleneck structures and a carefully designed balance between self-attentions and feed-forward networks). This model detects SQLInjection attacks in the input string (check How To Below). This is a very very light model (100mb) and can be used for edge computing use cases. Used dataset from [Kaggle](www.kaggle.com) called [SQl_Injection](https://www.kaggle.com/datasets/sajid576/sql-injection-dataset).
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  **Please test the model before deploying into any environment**.
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  Contact us for more info: [email protected]
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+ ### Code Repo
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+ Here is the code repo https://github.com/cssupport23/AI-Model---SQL-Injection-Attack-Detector
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  ## Model Details
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