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Video-LLaVA-7B-hf

Inference Endpoints

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nielsr HF staff commited on May 16

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@@ -17,6 +17,11 @@ Base LLM: [lmsys/vicuna-13b-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5)
 The model can generate interleaving images and videos, despite the absence of image-video pairs in the dataset. Video-LLaVa is uses an encoder trained for unified visual representation through alignment prior to projection.
 Extensive experiments demonstrate the complementarity of modalities, showcasing significant superiority when compared to models specifically designed for either images or videos.
 **Paper or resources for more information:**
 https://github.com/PKU-YuanGroup/Video-LLaVA

 The model can generate interleaving images and videos, despite the absence of image-video pairs in the dataset. Video-LLaVa is uses an encoder trained for unified visual representation through alignment prior to projection.
 Extensive experiments demonstrate the complementarity of modalities, showcasing significant superiority when compared to models specifically designed for either images or videos.
+<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/videollava_example.png"
+alt="drawing" width="600"/>
+<small> VideoLLaVa example. Taken from the <a href="https://arxiv.org/abs/2311.10122">original paper.</a> </small>
 **Paper or resources for more information:**
 https://github.com/PKU-YuanGroup/Video-LLaVA