Improve model card for ViDRiP-LLaVA: Add pipeline tag, library name, and links

README.md

@@ -1,9 +1,19 @@
 ---
 license: cc-by-nc-3.0
+pipeline_tag: video-text-to-text
+library_name: transformers
+tags:
+- medical
+- pathology
+- video-language-model
+- VLM
+- LLaVA
 ---
 
 # 🧬 ViDRiP-LLaVA: A Dataset and Benchmark for Diagnostic Reasoning from Pathology Videos
 
+[[Paper](https://huggingface.co/papers/2505.04192)] | [[Code](https://github.com/trinhvg/VideoPath-LLaVA)]
+
 **ViDRiP-LLaVA** is a vision-language framework designed for instruction-based diagnostic reasoning using both image patches and video clips from pathology slides. It builds on LLaVA and extends it to the medical domain with domain-specific datasets and fine-tuned models.
 
 
@@ -138,10 +148,10 @@ Coming soon
 
 ### 📁 Licenses
 
-* **Dataset:**
-  Licensed under [**CC BY-NC-ND 3.0**](https://creativecommons.org/licenses/by-nc-nd/3.0/) (Attribution–NonCommercial–NoDerivatives)
-* **Code and pretrained models:**
-  Licensed under [**CC BY-NC 3.0**](https://creativecommons.org/licenses/by-nc/3.0/) (Attribution–NonCommercial)
+*   **Dataset:**
+    Licensed under [**CC BY-NC-ND 3.0**](https://creativecommons.org/licenses/by-nc-nd/3.0/) (Attribution–NonCommercial–NoDerivatives)
+*   **Code and pretrained models:**
+    Licensed under [**CC BY-NC 3.0**](https://creativecommons.org/licenses/by-nc/3.0/) (Attribution–NonCommercial)
 
 ### ⚙️ Dependencies and Components
 
@@ -154,6 +164,6 @@ All content usage complies with [**YouTube’s Terms of Service**](https://www.y
 
 ### 🚫 Restrictions
 
-* Not for **commercial use**
-* Not to be used in **clinical care** or **medical decision-making**
-* For **academic research, development, and evaluation only**
+*   Not for **commercial use**
+*   Not to be used in **clinical care** or **medical decision-making**
+*   For **academic research, development, and evaluation only**