PyTorch
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Add release note for v1.3.1

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  1. README.md +1 -1
  2. config.json +3 -0
README.md CHANGED
@@ -8,7 +8,7 @@ X-CLIP extends the CLIP framework from images to videos by incorporating tempora
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  Original paper: [Expanding Language-Image Pretrained Models for General Video Recognition (X-CLIP)](https://arxiv.org/abs/2208.02816)
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- # XCLIP-B32F8
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  This model uses the **X-CLIP Base-Patch32-8Frames** variant, which combines a ViT-Base backbone with 32×32 image patches and processes 8 video frames to capture both appearance and motion information. It is well suited for applications such as video classification, video retrieval, video-text matching, and zero-shot video understanding where efficient spatiotemporal reasoning is required.
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  Original paper: [Expanding Language-Image Pretrained Models for General Video Recognition (X-CLIP)](https://arxiv.org/abs/2208.02816)
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+ # X-CLIP Base-Patch32-8Frames
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  This model uses the **X-CLIP Base-Patch32-8Frames** variant, which combines a ViT-Base backbone with 32×32 image patches and processes 8 video frames to capture both appearance and motion information. It is well suited for applications such as video classification, video retrieval, video-text matching, and zero-shot video understanding where efficient spatiotemporal reasoning is required.
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config.json ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:779942ebb16708036af3626823520ad296c3b78c42d5a1dababbdfc2dc496a09
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+ size 28