Update CKPT to allow weights_only=True loading and add config.json for download tracking
Browse files- adaptation_plan.json +11 -11
- checkpoint_final.pth +2 -2
- config.json +3 -0
adaptation_plan.json
CHANGED
@@ -54,9 +54,9 @@
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],
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"patch_size": [
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]
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}
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},
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@@ -79,29 +79,29 @@
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{
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"type": "Architecture",
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"name": "ResEncL",
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"
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"
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]
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},
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{
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"type": "Pretraining Method",
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"name": "Volume Fusion",
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"
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"
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]
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},
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{
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"type": "Pre-Training Dataset",
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"name": "OpenMind",
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"
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"
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]
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},
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{
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"type": "Framework",
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"name": "nnssl",
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"
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"
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]
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}
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],
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1
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],
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"patch_size": [
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160,
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160,
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160
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]
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}
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},
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{
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"type": "Architecture",
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"name": "ResEncL",
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"apa_citations": [
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"Isensee, F., Wald, T., Ulrich, C., Baumgartner, M., Roy, S., Maier-Hein, K., & Jaeger, P. F. (2024, October). nnu-net revisited: A call for rigorous validation in 3d medical image segmentation. MICCAI."
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]
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},
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{
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"type": "Pretraining Method",
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"name": "Volume Fusion",
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"apa_citations": [
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"Wang, G., Wu, J., Luo, X., Liu, X., Li, K., & Zhang, S. (2023). Mis-fm: 3d medical image segmentation using foundation models pretrained on a large-scale unannotated dataset. arXiv preprint arXiv:2306.16925."
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]
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},
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{
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"type": "Pre-Training Dataset",
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"name": "OpenMind",
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"apa_citations": [
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"Wald, T., Ulrich, C., Suprijadi, J., Ziegler, S., Nohel, M., Peretzke, R., ... & Maier-Hein, K. H. (2024). An OpenMind for 3D medical vision self-supervised learning. arXiv preprint arXiv:2412.17041."
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]
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},
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{
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"type": "Framework",
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"name": "nnssl",
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"apa_citations": [
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"Wald, T., Ulrich, C., Lukyanenko, S., Goncharov, A., Paderno, A., Maerkisch, L., ... & Maier-Hein, K. (2024). Revisiting MAE pre-training for 3D medical image segmentation. CVPR."
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]
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}
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],
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checkpoint_final.pth
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b067720b1846376e0fa5ebd45a4bb42977ce5fcfec003f848e495715b740d369
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size 491210894
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config.json
ADDED
@@ -0,0 +1,3 @@
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{
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"description": "Dummy config to allow tracking HF downloads."
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}
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