Add pipeline tag, library name, and paper link to model card

This PR improves the model card by:
- Linking the model to its paper: [AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation](https://huggingface.co/papers/2507.01255).
- Adding the `video-to-text` pipeline tag, ensuring better discoverability on the Hugging Face Hub (https://huggingface.co/models?pipeline_tag=video-to-text).
- Specifying `transformers` as the `library_name` as the model is compatible with it.

README.md

@@ -1,3 +1,11 @@
----
-license: mit
----
+---
+license: mit
+pipeline_tag: video-to-text
+library_name: transformers
+---
+
+This repository contains the AIGVE-MACS model, a unified model for AI-Generated Video Evaluation (AIGVE), as presented in the paper [AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation](https://huggingface.co/papers/2507.01255).
+
+AIGVE-MACS is designed to provide both numerical scores and multi-aspect language comment feedback for AI-generated videos. It leverages Vision-Language Models with a novel token-wise weighted loss and a dynamic frame sampling strategy to align with human evaluators.
+
+This model is compatible with the Hugging Face `transformers` library.