Link to paper

This PR links the model card to the paper [jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images](https://huggingface.co/papers/2412.08802), making it easier for people to find this model when searching on Hugging Face.

README.md

@@ -1,25 +1,6 @@
 ---
-library_name: transformers
-license: cc-by-nc-4.0
-tags:
-- xlm-roberta
-- eva02
-- clip
-- feature-extraction
-- sentence-similarity
-- retrieval
-- multimodal
-- multi-modal
-- crossmodal
-- cross-modal
-- mteb
-- clip-benchmark
-- vidore
-- transformers
-- sentence-transformers
-- onnx
-- safetensors
-- transformers.js
+base_model:
+- jinaai/xlm-roberta-flash-implementation
 language:
 - multilingual
 - af
@@ -115,9 +96,28 @@ language:
 - xh
 - yi
 - zh
+library_name: transformers
+license: cc-by-nc-4.0
+tags:
+- xlm-roberta
+- eva02
+- clip
+- feature-extraction
+- sentence-similarity
+- retrieval
+- multimodal
+- multi-modal
+- crossmodal
+- cross-modal
+- mteb
+- clip-benchmark
+- vidore
+- transformers
+- sentence-transformers
+- onnx
+- safetensors
+- transformers.js
 inference: false
-base_model:
-- jinaai/xlm-roberta-flash-implementation
 ---
 
 <br><br>
@@ -135,6 +135,7 @@ base_model:
 <b>Jina CLIP v2: Multilingual Multimodal Embeddings for Texts and Images</b>
 </p>
 
+This model is based on the paper [jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images](https://huggingface.co/papers/2412.08802).
 
 ## Quick Start