Add pipeline tag and library_name

This PR adds the pipeline tag, enabling people to find the model at https://huggingface.co/models?pipeline_tag=image-to-text as well
as adding the appropriate library_name.

README.md

@@ -1,12 +1,14 @@
 ---
+base_model:
+- SanghyukChun/ProLIP-ViT-B-16-DC-1B-12_8B
+datasets:
+- Lin-Chen/ShareGPT4V
+license: mit
 tags:
 - pytorch_model_hub_mixin
 - model_hub_mixin
-license: mit
-datasets:
-- Lin-Chen/ShareGPT4V
-base_model:
-- SanghyukChun/ProLIP-ViT-B-16-DC-1B-12_8B
+library_name: transformers
+pipeline_tag: image-to-text
 ---
 
 ## Official implementation of ViT-B/16 LongProLIP on ShareGPT4V, HYPE medium and DFN medium
@@ -19,7 +21,7 @@ base_model:
 
 ### Overview
 - LongProLIP Paper: https://arxiv.org/abs/2503.08048
-- ProLIP Paper: https://arxiv.org/abs/2410.18857
+- ProLIP Paper: https://huggingface.co/papers/2410.18857
 - GitHub: https://github.com/naver-ai/prolip
 - More models are available at https://huggingface.co/collections/SanghyukChun/prolip-6712595dfc87fd8597350291