Add library_name and pipeline_tag metadata

Hi! I'm Niels from the Hugging Face community team.

I've updated the model card to include the `library_name: transformers` and `pipeline_tag: text-classification` metadata. I've also added the `arxiv` ID to link this repository to the original research paper.

These tags are important as they:
1. Enable the "Use in Transformers" button on the Hub.
2. Ensure the model appears in the correct task categories (Reward Models are typically documented under text-classification).
3. Link the artifact to its corresponding paper page on Hugging Face.

The existing documentation, usage examples, and citation have been preserved.

README.md

@@ -1,14 +1,16 @@
 ---
-license: mit
+base_model:
+- Skywork/Skywork-Reward-V2-Llama-3.1-8B
 datasets:
 - openai/summarize_from_feedback
+license: mit
 metrics:
 - accuracy
-base_model:
-- Skywork/Skywork-Reward-V2-Llama-3.1-8B
+library_name: transformers
+pipeline_tag: text-classification
+arxiv: 2601.18731
 ---
 
-
 # Meta Reward Modeling (MRM)
 
 ## Overview
@@ -174,4 +176,4 @@ If you use this model or code in your research, please cite:
 
 ## License
 
-This model is released under the **MIT License**.
+This model is released under the **MIT License**.