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@@ -13,7 +13,7 @@ This repository includes GiT checkpoints, logs, and the pre-trained files used.
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  ### Model Description
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  <!-- Provide a longer summary of what this model is. -->
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- In this project, we introduce GiT (Large Visual Modeling). GiT has the following characteristics:
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  - 😮 **Minimalist architecture design similar to LLM**: GiT consists solely of a single transformer, without the inclusion of additional vision encoder and adapter.
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  - 🚀 **Covering all types of visual understanding tasks**: GiT addresses a spectrum of visual tasks, including object-level tasks (e.g., objecte detection), pixel-level tasks (e.g., semantic segmentation) and vision-language tasks (e.g., image captioning).
@@ -23,9 +23,8 @@ In this project, we introduce GiT (Large Visual Modeling). GiT has the following
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6585493b53c37507639fe3ba/0-qINMmUF8ugjb2jdsHLa.png)
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- - **Developed by:** Haiyang Wang ( [email protected] ), Hao Tan
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-
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- pache license 2.0
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  ### Model Sources
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  ### Model Description
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  <!-- Provide a longer summary of what this model is. -->
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+ In this project, we introduce GiT (Generalist Vision Transformer). GiT has the following characteristics:
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  - 😮 **Minimalist architecture design similar to LLM**: GiT consists solely of a single transformer, without the inclusion of additional vision encoder and adapter.
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  - 🚀 **Covering all types of visual understanding tasks**: GiT addresses a spectrum of visual tasks, including object-level tasks (e.g., objecte detection), pixel-level tasks (e.g., semantic segmentation) and vision-language tasks (e.g., image captioning).
 
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6585493b53c37507639fe3ba/0-qINMmUF8ugjb2jdsHLa.png)
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+ - **Developed by:** Haiyang Wang ( [email protected] ), Hao Tang ([email protected])
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+ - **License:** Apache license 2.0
 
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  ### Model Sources
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