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@@ -21,7 +21,7 @@ pipeline_tag: visual-question-answering
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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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  a large video evaluation dataset with multi-aspect human scores.
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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) or [Qwen2-VL](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) as base model
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  and trained on [VideoFeedback](https://huggingface.co/datasets/TIGER-Lab/VideoFeedback),
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  a large video evaluation dataset with multi-aspect human scores.
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