Update README.md

README.md

@@ -11,6 +11,8 @@ Please refer to  [project page](https://sabirdvd.github.io/project_page/Dataset_
 
 
 
+ 
+
 # Overview
 
  We enrich COCO-Caption with textual Visual Context information. We use ResNet152, CLIP, 
@@ -23,9 +25,8 @@ Please refer to  [project page](https://sabirdvd.github.io/project_page/Dataset_
           of the visual overlap  between caption and visual context, and to extract global information, we use BERT followed by a shallow CNN (<a href="https://arxiv.org/abs/1408.5882">Kim, 2014</a>)
           to estimate the visual relatedness score. 
  
- For quick start please have a look this [demo](https://github.com/ahmedssabir/Textual-Visual-Semantic-Dataset/blob/main/BERT_CNN_Visual_re_ranker_demo.ipynb)
-
-
+ For quick start please have a look this [demo](https://github.com/ahmedssabir/Textual-Visual-Semantic-Dataset/blob/main/BERT_CNN_Visual_re_ranker_demo.ipynb) and [pre-trained model with th 0.2, 0.3, 0.4](https://huggingface.co/AhmedSSabir/BERT-CNN-Visual-Semantic)  
+ 
 <!-- 
 ## Dataset