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@@ -14,11 +14,11 @@ Pezold, Jérôme A. Kurylec, Jan S. Liechti, Beat P. Müller, and Joël L. Lavan
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  The resulting model weights can be downloaded [here](./jepa-12h.pth.tar).
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  * **Pretrained V-JEPA** (third-party): The model weights that formed the basis for finetuning can be downloaded via the links provided in Meta Research's
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- [V-JEPA v1 code repository](https://github.com/facebookresearch/jepa): use the link under *model zoo / pretrained models /
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  ViT-L / checkpoint* or [this direct link](https://dl.fbaipublicfiles.com/jepa/vitl16/vitl16.pth.tar). Please note that we are not
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  affiliated with Meta Research in any way.
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- For details on how to use the provided model weights with the approach proposed in our paper, follow the instructions in its
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  [code repository](https://github.com/DigitalSurgeryLab-Basel/ML-CDS-2025).
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  ## Data, distribution, and licensing
 
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  The resulting model weights can be downloaded [here](./jepa-12h.pth.tar).
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  * **Pretrained V-JEPA** (third-party): The model weights that formed the basis for finetuning can be downloaded via the links provided in Meta Research's
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+ [V-JEPA v1 code repository](https://github.com/facebookresearch/jepa) use the link under *model zoo / pretrained models /
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  ViT-L / checkpoint* or [this direct link](https://dl.fbaipublicfiles.com/jepa/vitl16/vitl16.pth.tar). Please note that we are not
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  affiliated with Meta Research in any way.
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+ For details on how to use the provided model weights with the approach proposed in our paper, follow the instructions in our
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  [code repository](https://github.com/DigitalSurgeryLab-Basel/ML-CDS-2025).
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  ## Data, distribution, and licensing