Add pipeline tag, link to paper page

README.md

@@ -5,16 +5,18 @@ datasets:
 base_model:
 - lmms-lab/LongVA-7B
 library_name: transformers
+pipeline_tag: video-text-to-text
 ---
 
-
 <a href='https://arxiv.org/abs/2501.13919v1'><img src='https://img.shields.io/badge/arXiv-paper-red'></a><a href='https://ruili33.github.io/tpo_website/'><img src='https://img.shields.io/badge/project-TPO-blue'></a><a href='https://huggingface.co/collections/ruili0/temporal-preference-optimization-67874b451f65db189fa35e10'><img src='https://img.shields.io/badge/huggingface-datasets-green'></a>
 <a href='https://huggingface.co/collections/ruili0/temporal-preference-optimization-67874b451f65db189fa35e10'><img src='https://img.shields.io/badge/model-checkpoints-yellow'></a> 
 <a href='https://github.com/ruili33/TPO'><img src='https://img.shields.io/badge/github-repository-purple'></a> 
 <img src="cvpr_figure_TPO.png"></img>
 # LongVA-7B-TPO
 
-LongVA-7B-TPO, introduced by paper [Temporal Preference Optimization for Long-form Video Understanding](https://arxiv.org/abs/2501.13919v1), optimized
+This repository contains the model described in the paper [Temporal Preference Optimization for Long-form Video Understanding](https://huggingface.co/papers/2501.13919).
+
+LongVA-7B-TPO, introduced by paper [Temporal Preference Optimization for Long-form Video Understanding](https://huggingface.co/papers/2501.13919v1), optimized
 by temporal preference based on LongVA-7B. The LongVA-7B-TPO model establishes state-of-the-art performance across a range of 
 benchmarks, demonstrating an average performance improvement of 2% compared to LongVA-7B.