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@@ -11,6 +11,8 @@ As shown in the Table below, `imp-v0-3b` significantly outperforms the counterpa
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We release our model weights and provide an example below to run our model . Detailed technical report and corresponding training/evaluation code will be released soon on our [GitHub repo](https://github.com/MILVLG/imp). We will persistently improve our model and release the next versions to further improve model performance :)
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## How to use
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You can use the following code for model inference. We minimize the required dependency libraries that only the `transformers` and `torch` packages are used. The format of text instructions is similar to [LLaVA](https://github.com/haotian-liu/LLaVA).
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We release our model weights and provide an example below to run our model . Detailed technical report and corresponding training/evaluation code will be released soon on our [GitHub repo](https://github.com/MILVLG/imp). We will persistently improve our model and release the next versions to further improve model performance :)
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## How to use
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You can use the following code for model inference. We minimize the required dependency libraries that only the `transformers` and `torch` packages are used. The format of text instructions is similar to [LLaVA](https://github.com/haotian-liu/LLaVA).
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images/example1.png
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