Add link to Github repository

README.md

@@ -1,20 +1,23 @@
 ---
-license: mit
-pipeline_tag: image-text-to-text
-library_name: transformers
 base_model:
 - internlm/internlm2-chat-1_8b
-base_model_relation: merge
 language:
 - multilingual
+library_name: transformers
+license: mit
+pipeline_tag: image-text-to-text
 tags:
 - internvl
 - vision-language model
 - monolithic
+base_model_relation: merge
 ---
+
 # HoVLE
 
-[\[📜 HoVLE Paper\]](https://arxiv.org/pdf/2412.16158) [\[🚀 Quick Start\]](#quick-start)
+[\\[📜 HoVLE Paper\\]](https://arxiv.org/pdf/2412.16158) [\\[🚀 Quick Start\\]](#quick-start)
+
+For code, see https://github.com/OpenGVLab/HoVLE.
 
 <a id="radar"></a>
 
@@ -54,8 +57,7 @@ This repository releases the HoVLE-HD model with 2.6B parameters. It is built up
   <img src="assets/performance2.png" width="90%" />
 </p>
 
-- Sources of the results include the original papers, our evaluation with [VLMEvalKit](https://github.com/open-compass/VLMEvalKit), and [OpenCompass](https://rank.opencompass.org.cn/leaderboard-multimodal/?m=REALTIME).
-- Please note that evaluating the same model using different testing toolkits can result in slight differences, which is normal. Updates to code versions and variations in environment and hardware can also cause minor discrepancies in results.
+- Sources of the results include the original papers, our evaluation with [VLMEvalKit](https://github.com/open-compass/VLMEvalKit), and [OpenCompass](https://rank.opencompass.org.cn/leaderboard-multimodal/?m=REALTIME).\n- Please note that evaluating the same model using different testing toolkits can result in slight differences, which is normal. Updates to code versions and variations in environment and hardware can also cause minor discrepancies in results.