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README.md
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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 (
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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
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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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