Zhang199
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TinyLLaVA-Qwen2-0.5B-SigLIP

Image-Text-to-Text

text2text-generation

Inference Endpoints

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Zhang199 commited on Jul 30

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@@ -8,7 +8,7 @@ pipeline_tag: image-text-to-text
 [![arXiv](https://img.shields.io/badge/Arxiv-2402.14289-b31b1b.svg?logo=arXiv)](https://arxiv.org/abs/2402.14289)[![Github](https://img.shields.io/badge/Github-Github-blue.svg)](https://github.com/TinyLLaVA/TinyLLaVA_Factory)[![Demo](https://img.shields.io/badge/Demo-Demo-red.svg)](http://8843843nmph5.vicp.fun/#/)
-Here, we introduce TinyLLaVA-Qwen2-SigLIP-0.5B , which is trained by the [TinyLLaVA Factory](https://github.com/TinyLLaVA/TinyLLaVA_Factory) codebase. For LLM and vision tower, we choose [Qwen-2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) and [siglip-so400m-patch14-384](https://huggingface.co/google/siglip-so400m-patch14-384), respectively.
 ### Usage
 Execute the following test code:

 [![arXiv](https://img.shields.io/badge/Arxiv-2402.14289-b31b1b.svg?logo=arXiv)](https://arxiv.org/abs/2402.14289)[![Github](https://img.shields.io/badge/Github-Github-blue.svg)](https://github.com/TinyLLaVA/TinyLLaVA_Factory)[![Demo](https://img.shields.io/badge/Demo-Demo-red.svg)](http://8843843nmph5.vicp.fun/#/)
+Here, we introduce TinyLLaVA-Qwen2-0.5B-SigLIP , which is trained by the [TinyLLaVA Factory](https://github.com/TinyLLaVA/TinyLLaVA_Factory) codebase. For LLM and vision tower, we choose [Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) and [siglip-so400m-patch14-384](https://huggingface.co/google/siglip-so400m-patch14-384), respectively.
 ### Usage
 Execute the following test code: