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llava-Qwen2-7B-Instruct-Chinese-CLIP-v2

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Inference Endpoints

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REILX commited on Jul 19

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@@ -46,7 +46,7 @@ llava-Qwen2-7B-Instruct-Chinese-CLIP = Qwen/Qwen2-7B-Instruct + multi_modal_proj
 6. 效果展示</br>
 以下测试结果显示模型能识别图像中的文字信息，且能正确识别表情包想要表达的内涵</br>
-<img src="./images/llava-qwen-2-7b-OFA-Syschinese-clip-chineseOCR_pri_fly_SWH_memechinese_lora_0716_warmup0_1_fp16/1.PNG">
 <img src="./images/llava-qwen-2-7b-OFA-Syschinese-clip-chineseOCR_pri_fly_SWH_memechinese_lora_0716_warmup0_1_fp16/2.PNG" width="800" height="400">
 <img src="./images/llava-qwen-2-7b-OFA-Syschinese-clip-chineseOCR_pri_fly_SWH_memechinese_lora_0716_warmup0_1_fp16/3.PNG" width="800" height="400">
 <img src="./images/llava-qwen-2-7b-OFA-Syschinese-clip-chineseOCR_pri_fly_SWH_memechinese_lora_0716_warmup0_1_fp16/4.PNG" width="800" height="400">

 6. 效果展示</br>
 以下测试结果显示模型能识别图像中的文字信息，且能正确识别表情包想要表达的内涵</br>
+<img src="./images/llava-qwen-2-7b-OFA-Syschinese-clip-chineseOCR_pri_fly_SWH_memechinese_lora_0716_warmup0_1_fp16/1.PNG" width="800" height="400">
 <img src="./images/llava-qwen-2-7b-OFA-Syschinese-clip-chineseOCR_pri_fly_SWH_memechinese_lora_0716_warmup0_1_fp16/2.PNG" width="800" height="400">
 <img src="./images/llava-qwen-2-7b-OFA-Syschinese-clip-chineseOCR_pri_fly_SWH_memechinese_lora_0716_warmup0_1_fp16/3.PNG" width="800" height="400">
 <img src="./images/llava-qwen-2-7b-OFA-Syschinese-clip-chineseOCR_pri_fly_SWH_memechinese_lora_0716_warmup0_1_fp16/4.PNG" width="800" height="400">