Update README.md

README.md

@@ -35,14 +35,7 @@ Janus-Pro is constructed based on the DeepSeek-LLM-1.5b-base/DeepSeek-LLM-7b-bas
 
 For multimodal understanding, it uses the [SigLIP-L](https://huggingface.co/timm/ViT-L-16-SigLIP-384) as the vision encoder, which supports 384 x 384 image input. For image generation, Janus-Pro uses the tokenizer from [here](https://github.com/FoundationVision/LlamaGen) with a downsample rate of 16.
 
-
-
-## 3. Quick Start
-
-Please refer to [**Github Repository**](https://github.com/deepseek-ai/Janus)
-
-
-## 4. Usage Examples
+## 3. Usage Examples
 
 ### Single Image Inference
 
@@ -137,10 +130,10 @@ for i, image in enumerate(images["pixel_values"]):
     image.save(f"image{i}.png")
 ```
 
-## 5. License
+## 4. License
 
 This code repository is licensed under [the MIT License](https://github.com/deepseek-ai/DeepSeek-LLM/blob/HEAD/LICENSE-CODE). The use of Janus-Pro models is subject to [DeepSeek Model License](https://github.com/deepseek-ai/DeepSeek-LLM/blob/HEAD/LICENSE-MODEL).
-## 6. Citation
+## 5. Citation
 
 ```
 @article{chen2025janus,
@@ -151,6 +144,6 @@ This code repository is licensed under [the MIT License](https://github.com/deep
 }
 ```
 
-## 7. Contact
+## 6. Contact
 
 If you have any questions, please raise an issue or contact us at [service@deepseek.com](mailto:service@deepseek.com).