Add paper and code links, update license metadata

This PR updates the model card by:
- Adding `license: other` to the YAML metadata (modified MIT license).
- Replacing the placeholder “paper link” with the actual paper link: https://huggingface.co/papers/2606.02366.
- Adding a link to the official GitHub repository: https://github.com/AdaptiveMotorControlLab/PRIMA.

README.md

@@ -1,16 +1,18 @@
 ---
+pipeline_tag: image-to-3d
+license: other
 tags:
 - computer_vision
 - animal_pose_and_shape_estimation
 - DeepLabCut
-pipeline_tag: image-to-3d
 ---
+
 # MODEL CARD:
 
 ## Model Details
 
 • PRIMA model(s) developed by the [M.W.Mathis Lab](http://www.mackenziemathislab.org/) in 2026, trained to predict quadruped shape and pose from images.
-Please see **paper link**  for details.
+Please see the [paper](https://huggingface.co/papers/2606.02366) for details.
 
 • There are two main models:
   - `s1ckpt.ckpt` is the stage-1 model trained with Animal3D, CtrlAni3D, and Quadruped2D datasets.
@@ -67,8 +69,10 @@ It consists of being trained together on the following datasets:
 - **Animal3D** see full details at (1).
 - **CtrlAni3D** See full details at (2).
 - **Quadruped2D** See full details at (3).
-- **Quadruped3D** See full details at **paper link**.
+- **Quadruped3D** See full details at [the paper](https://huggingface.co/papers/2606.02366).
 
+## Code
+The official implementation is available at [https://github.com/AdaptiveMotorControlLab/PRIMA](https://github.com/AdaptiveMotorControlLab/PRIMA).
 
 ## Ethical Considerations
 • No experimental data were collected for this model; all datasets used are cited.
@@ -97,7 +101,7 @@ OR THE USE OR OTHER DEALINGS IN THE MODEL.
 If this license is not appropriate for your application, please contact Prof. Mackenzie W. Mathis 
 (mackenzie@post.harvard.edu) and/or the TTO office at EPFL (tto@epfl.ch) for a commercial use license.
 
-Please cite **paper link** if you use this model in your work.
+Please cite the [paper](https://huggingface.co/papers/2606.02366) if you use this model in your work.
 
 ## References
 1. Xu, J., Zhang, Y., Peng, J., Ma, W., Jesslen, A., Ji, P., Hu, Q., Zhang, J., Liu, Q.,