Update README.md

README.md

@@ -13,15 +13,12 @@ Moreover, Visualized BGE fully preserves the strong text embedding capabilities
 
 ## Specs
 
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 ### Model
 | **Model Name** | **Dimension** | **Text Embedding Model** | **Language** | **Weight** |
 | --- | --- | --- | --- | --- |
 | BAAI/bge-visualized-base-en-v1.5 | 768 | [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | English | [🤗 HF link](https://huggingface.co/BAAI/bge-visualized/blob/main/Visualized_base_en_v1.5.pth) |
 | BAAI/bge-visualized-m3 | 1024 | [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) | Multilingual | [🤗 HF link](https://huggingface.co/BAAI/bge-visualized/blob/main/Visualized_m3.pth) |
 
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 ### Data
 We have generated a hybrid multi-modal dataset consisting of over 500,000 instances for training. The dataset will be released at a later time.
 
@@ -127,6 +124,6 @@ A1: While it is technically possible, it's not the recommended use case. Our mod
 The image token embedding model in this project is built upon the foundations laid by [EVA-CLIP](https://github.com/baaivision/EVA/tree/master/EVA-CLIP).
 
 ## Citation
-If you find this repository useful, please consider giving a star ⭐ and citation
+If you find this repository useful, please consider giving a like and citation
 > Paper will be released soon