Update license, add pipeline tag, code link and usage example

This PR improves the model card by:
- Correcting the license from Apache 2.0 to MIT, as stated in the project's GitHub repository.
- Adding the `pipeline_tag: video-feature-extraction` to help users discover this model for relevant tasks.
- Adding an explicit link to the GitHub repository in the model card content.
- Including a sample usage for pretraining the model.

Please review and merge if these changes look good.

README.md

@@ -1,24 +1,26 @@
 ---
-license: apache-2.0
-language: en
-tags:
-  - self-supervised-learning
-  - echocardiography
-  - medical-imaging
-  - video-representation
 datasets:
-  - EchoDynamic
-  - RVENet
-  - EchoNet-Pediatric-LVH
+- EchoDynamic
+- RVENet
+- EchoNet-Pediatric-LVH
+language: en
 library_name: pytorch
+license: mit
+tags:
+- self-supervised-learning
+- echocardiography
+- medical-imaging
+- video-representation
 model_index: deep-learning
 paper: https://arxiv.org/pdf/2506.11777
+pipeline_tag: video-feature-extraction
 ---
 
 # 🫀 DISCOVR — Self-Supervised Echocardiography Representations
 
 **Paper:** *Self-Supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation* — NeurIPS 2025  
 📄 [arXiv:2506.11777](https://arxiv.org/pdf/2506.11777)
+**Code:** [https://github.com/mdivyanshu97/DISCOVR](https://github.com/mdivyanshu97/DISCOVR)
 
 ---
 
@@ -49,6 +51,30 @@ It learns both fine-grained anatomical semantics and global temporal dynamics, s
 
 ---
 
+## Sample Usage
+
+To pretrain the model on echocardiographic videos:
+
+```bash
+python -m torch.distributed.launch --nproc_per_node=NUM_GPUS \
+    scripts/run_mae_pretraining.py \
+    --data_path /path/to/echo_videos \
+    --data_path_csv /path/to/train.csv \
+    --data_path_val /path/to/val.csv \
+    --data_path_test /path/to/test.csv \
+    --mask_type multi_local \
+    --loss_func SIGMA \
+    --model pretrain_videomae_base_patch16_224 \
+    --batch_size 48 \
+    --num_frames 64 \
+    --opt adamw \
+    --opt_betas 0.9 0.95 \
+    --warmup_epochs 40 \
+    --epochs 400
+```
+
+---
+
 ## 🔖 Quick Facts
 - **Repo:** `Div97/DISCOVR_ADULT_PEDIATRIC_MODEL`  
 - **Model family:** DISCOVR checkpoints (199 → 799)  
@@ -67,7 +93,13 @@ If you use DISCOVR in your work, please cite:
 ```bibtex
 @article{mishra2025self,
   title={Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation},
-  author={Mishra, Divyanshu and Salehi, Mohammadreza and Saha, Pramit and Patey, Olga and Papageorghiou, Aris T and Asano, Yuki M and Noble, J Alison},
+  author={Mishra, Divyanshu and Salehi, Mohammadreza and Saha, Pramit Saha and Patey, Olga and Papageorghiou, Aris T and Asano, Yuki M and Noble, J Alison},
   journal={arXiv preprint arXiv:2506.11777},
   year={2025}
 }
+```
+
+---
+
+## License
+This project is licensed under the MIT License.