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README.md
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@@ -20,10 +20,12 @@ In this project, we introduce GiT (Large Visual Modeling). GiT has the following
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- 🤗 **Achieving task synergy by unified language interface**: Similar to LLM, GiT observes task synergy effect in multi-task training.
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- 🔥 **SOTA performance on zero-shot and few-shot benchmark**: GiT scales well with model size and data, demonstrating remarkable generalizability across diverse scenarios after trained on 27 datasets.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6585493b53c37507639fe3ba/FEhRT9ZscNwG7xIYYIYmh.png)
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### Model Sources
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- 🤗 **Achieving task synergy by unified language interface**: Similar to LLM, GiT observes task synergy effect in multi-task training.
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- 🔥 **SOTA performance on zero-shot and few-shot benchmark**: GiT scales well with model size and data, demonstrating remarkable generalizability across diverse scenarios after trained on 27 datasets.
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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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pache license 2.0
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### Model Sources
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