Update README.md

README.md

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 ## Model Details
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/66954efe30bd2a19adcd92aa/nXwBehKsHWh8CX1LPNr6-.png)
-
 ### Model Description
 
 This model combines Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU), designed for sequence-based tasks like time series analysis, natural language processing (NLP), or anomaly detection.
@@ -227,6 +225,7 @@ Dataset: https://huggingface.co/datasets/noobpk/web-attack-detection
 
 **BibTeX:**
 
+```
 @inproceedings{10.1145/3628797.3628901,
 author = {Le-Thanh, Phuc and Le-Anh, Tuan and Le-Trung, Quan},
 title = {Research and Development of a Smart Solution for Runtime Web Application Self-Protection},
@@ -244,6 +243,7 @@ keywords = {Convolutional Neural Network (CNN), Deep Learning, Gated Recurrent U
 location = {Ho Chi Minh, Vietnam},
 series = {SOICT '23}
 }
+```
 
 ## Model Card Authors