Update README.md

README.md

@@ -4,10 +4,9 @@ license: apache-2.0
 
 [📚 Paper](TODO) - [🤖 GitHub](https://github.com/visurg-ai/surg-3m) 
 
-We provide the models used in our data curation pipeline in [📚 Surg-3M: A Dataset and Foundation Model for Perception in Surgical Settings](TODO) to assist with constructing the Surg-3M dataset, for more detail of the Surg-3M dataset and our 
-SurgFM foundation model, please see our [🤖 GitHub](https://github.com/visurg-ai/surg-3m) .
-
-This repository includesvideo storyboard classification models, frame classification models, and non-surgical object detection models. The model loader file can be found at [model_loader.py](https://huggingface.co/visurg/Surg3M_curation_models/blob/main/model_loader.py)
+We provide the models used in our data curation pipeline in [📚 Surg-3M: A Dataset and Foundation Model for Perception in Surgical Settings](TODO) to assist with constructing the Surg-3M dataset (for more details about the Surg-3M dataset and our 
+SurgFM foundation model, please visit our github repository at [🤖 GitHub](https://github.com/visurg-ai/surg-3m)) .
+This huggingface repository includes video storyboard classification models, frame classification models, and non-surgical object detection models. The model loader file can be found at [model_loader.py](https://huggingface.co/visurg/Surg3M_curation_models/blob/main/model_loader.py)
 
 
 <div align="center">
@@ -20,17 +19,17 @@ This repository includesvideo storyboard classification models, frame classifica
   <tr>
     <td>Video storyboard classification models</td>
     <td>ResNet-18</td>
-    <td><a href="">Full ckpt</a></td>
+    <td><a href="https://huggingface.co/visurg/Surg3M_curation_models/tree/main/video_storyboard_classification">Full ckpt</a></td>
   </tr>
   <tr>
     <td>Frame classification models</td>
     <td>ResNet-18</td>
-    <td><a href="">Full ckpt</a></td>
+    <td><a href="https://huggingface.co/visurg/Surg3M_curation_models/tree/main/frame_classification">Full ckpt</a></td>
   </tr>
   <tr>
     <td>Non-surgical object detection models</td>
     <td>Yolov8-Nano</td>
-    <td><a href="">Full ckpt</a></td>
+    <td><a href="https://huggingface.co/visurg/Surg3M_curation_models/tree/main/nonsurgical_object_detection">Full ckpt</a></td>
   </tr>
 </table>
 </div>