Update README.md

README.md

@@ -1,122 +1,124 @@
----
-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
-language:
-  - multilingual
-  - af
-  - am
-  - ar
-  - as
-  - az
-  - be
-  - bg
-  - bn
-  - br
-  - bs
-  - ca
-  - cs
-  - cy
-  - da
-  - de
-  - el
-  - en
-  - eo
-  - es
-  - et
-  - eu
-  - fa
-  - fi
-  - fr
-  - fy
-  - ga
-  - gd
-  - gl
-  - gu
-  - ha
-  - he
-  - hi
-  - hr
-  - hu
-  - hy
-  - id
-  - is
-  - it
-  - ja
-  - jv
-  - ka
-  - kk
-  - km
-  - kn
-  - ko
-  - ku
-  - ky
-  - la
-  - lo
-  - lt
-  - lv
-  - mg
-  - mk
-  - ml
-  - mn
-  - mr
-  - ms
-  - my
-  - ne
-  - nl
-  - no
-  - om
-  - or
-  - pa
-  - pl
-  - ps
-  - pt
-  - ro
-  - ru
-  - sa
-  - sd
-  - si
-  - sk
-  - sl
-  - so
-  - sq
-  - sr
-  - su
-  - sv
-  - sw
-  - ta
-  - te
-  - th
-  - tl
-  - tr
-  - ug
-  - uk
-  - ur
-  - uz
-  - vi
-  - xh
-  - yi
-  - zh
-inference: false
----
+---
+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
+language:
+- multilingual
+- af
+- am
+- ar
+- as
+- az
+- be
+- bg
+- bn
+- br
+- bs
+- ca
+- cs
+- cy
+- da
+- de
+- el
+- en
+- eo
+- es
+- et
+- eu
+- fa
+- fi
+- fr
+- fy
+- ga
+- gd
+- gl
+- gu
+- ha
+- he
+- hi
+- hr
+- hu
+- hy
+- id
+- is
+- it
+- ja
+- jv
+- ka
+- kk
+- km
+- kn
+- ko
+- ku
+- ky
+- la
+- lo
+- lt
+- lv
+- mg
+- mk
+- ml
+- mn
+- mr
+- ms
+- my
+- ne
+- nl
+- 'no'
+- om
+- or
+- pa
+- pl
+- ps
+- pt
+- ro
+- ru
+- sa
+- sd
+- si
+- sk
+- sl
+- so
+- sq
+- sr
+- su
+- sv
+- sw
+- ta
+- te
+- th
+- tl
+- tr
+- ug
+- uk
+- ur
+- uz
+- vi
+- xh
+- yi
+- zh
+inference: false
+base_model:
+- jinaai/xlm-roberta-flash-implementation
+---
 
 <br><br>
 
@@ -136,7 +138,7 @@ inference: false
 
 ## Quick Start
 
-[Blog](https://jina.ai/news/jina-clip-v2-multilingual-multimodal-embeddings-for-text-and-images) | [Azure](https://azuremarketplace.microsoft.com/en-gb/marketplace/apps/jinaai.jina-clip-v2-vm?tab=Overview) | [AWS SageMaker](https://aws.amazon.com/marketplace/pp/prodview-bfbctuqmky676) | [Google Cloud Platform](https://console.cloud.google.com/marketplace/browse?hl=en&inv=1&invt=AbiD-g&q=jina) | [API](https://jina.ai/embeddings)
+[Blog](https://jina.ai/news/jina-clip-v2-multilingual-multimodal-embeddings-for-text-and-images) | [Technical Report](https://arxiv.org/abs/2412.08802) | [Azure](https://azuremarketplace.microsoft.com/en-gb/marketplace/apps/jinaai.jina-clip-v2-vm?tab=Overview) | [AWS SageMaker](https://aws.amazon.com/marketplace/pp/prodview-bfbctuqmky676) | [Google Cloud Platform](https://console.cloud.google.com/marketplace/browse?hl=en&inv=1&invt=AbiD-g&q=jina) | [API](https://jina.ai/embeddings)
 
 
 ## Intended Usage & Model Info
@@ -177,7 +179,9 @@ CLIP-like models have established themselves as the backbone for general-purpose
 
 ## Training, Data, Parameters
 
-An updated version of our [technical report](https://arxiv.org/abs/2405.20204) with details on `jina-clip-v2` is coming soon. Stay tuned!
+Please refer to our [technical report of jina-clip-v2](https://arxiv.org/abs/2412.08802) for he details of model and training procedure.
+
+[technical report of jina-clip-v1](https://arxiv.org/abs/2405.20204)
 
 ## Faster Inference: FA2, XFormers and bf16
 
@@ -474,10 +478,13 @@ Join our [Discord community](https://discord.jina.ai) and chat with other commun
 If you find `jina-clip-v2` useful in your research, please cite the following paper:
 
 ```bibtex
-@misc{2405.20204,
-    Author = {Andreas Koukounas and Georgios Mastrapas and Michael Günther and Bo Wang and Scott Martens and Isabelle Mohr and Saba Sturua and Mohammad Kalim Akram and Joan Fontanals Martínez and Saahil Ognawala and Susana Guzman and Maximilian Werk and Nan Wang and Han Xiao},
-    Title = {Jina CLIP: Your CLIP Model Is Also Your Text Retriever},
-    Year = {2024},
-    Eprint = {arXiv:2405.20204},
+@misc{koukounas2024jinaclipv2multilingualmultimodalembeddings,
+      title={jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images}, 
+      author={Andreas Koukounas and Georgios Mastrapas and Bo Wang and Mohammad Kalim Akram and Sedigheh Eslami and Michael Günther and Isabelle Mohr and Saba Sturua and Scott Martens and Nan Wang and Han Xiao},
+      year={2024},
+      eprint={2412.08802},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2412.08802}, 
 }
 ```