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@@ -10,13 +10,13 @@ library_name: transformers
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  pipeline_tag: visual-question-answering
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- [📃Paper](https://arxiv.org/abs/2406.15252) | [🌐Website](https://tiger-ai-lab.github.io/VideoScore/) | [💻Github](https://github.com/TIGER-AI-Lab/VideoScore) | [🛢️Datasets](https://huggingface.co/datasets/TIGER-Lab/VideoFeedback) | [🤗Model](https://huggingface.co/TIGER-Lab/VideoScore-v1.1) | [🤗Demo](https://huggingface.co/spaces/TIGER-Lab/VideoScore) | [📉Wandb](https://api.wandb.ai/links/xuanhe/ptohlfcx)
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  ![VideoScore](https://tiger-ai-lab.github.io/VideoScore/static/images/teaser.png)
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  ## Introduction
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- - 🤯🤯Try on the new version [VideoScore-v1.1](https://huggingface.co/TIGER-Lab/VideoScore-v1.1), which is a variant from [VideoScore](https://huggingface.co/TIGER-Lab/VideoScore) with **better performance in "text-to-video alignment" subscore** and the support for **48 frames** in inference now!
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  - [VideoScore](https://huggingface.co/TIGER-Lab/VideoScore) series is a video quality evaluation model series, taking [Mantis-8B-Idefics2](https://huggingface.co/TIGER-Lab/Mantis-8B-Idefics2) as base-model
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  and trained on [VideoFeedback](https://huggingface.co/datasets/TIGER-Lab/VideoFeedback),
 
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  pipeline_tag: visual-question-answering
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  ---
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+ [📃Paper](https://arxiv.org/abs/2406.15252) | [🌐Website](https://tiger-ai-lab.github.io/VideoScore/) | [💻Github](https://github.com/TIGER-AI-Lab/VideoScore) | [🛢️Datasets](https://huggingface.co/datasets/TIGER-Lab/VideoFeedback) | [🤗Model](https://huggingface.co/TIGER-Lab/VideoScore-v1.1) | [🤗Demo](https://huggingface.co/spaces/TIGER-Lab/VideoScore)
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  ![VideoScore](https://tiger-ai-lab.github.io/VideoScore/static/images/teaser.png)
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  ## Introduction
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+ - 🤯🤯Try on the new version [VideoScore-v1.1](https://huggingface.co/TIGER-Lab/VideoScore-v1.1), a variant from [VideoScore](https://huggingface.co/TIGER-Lab/VideoScore) with better performance in **"text-to-video alignment"** subscore and the support for **48 frames** in inference now!
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  - [VideoScore](https://huggingface.co/TIGER-Lab/VideoScore) series is a video quality evaluation model series, taking [Mantis-8B-Idefics2](https://huggingface.co/TIGER-Lab/Mantis-8B-Idefics2) as base-model
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  and trained on [VideoFeedback](https://huggingface.co/datasets/TIGER-Lab/VideoFeedback),