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Initial upload: LibreDDColort-restore
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LibreDDColort-restore weights
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Source architecture: https://github.com/piddnad/DDColor
Commit: 2adb63f2656ac41cbdf7b894cddd94121a3faf13
License: Apache License 2.0, with permissive component notices documented in
the LibreYOLO family NOTICE.
Source artifact: https://huggingface.co/piddnad/ddcolor_paper_tiny
Revision: cf9fd99c1d7472689ec7413441c1b799a51866a3
File: pytorch_model.bin
Bytes: 220372845
SHA-256: 8a1277bc90a1bfbb6d2d83933a9a6bc821931879ca93e26e4fcec12165d41fce
Publisher-declared artifact license: Apache-2.0
Conversion adds LibreYOLO checkpoint metadata. Learned tensors are unchanged.
Converted SHA-256:
044254d616df5cc6935669ea05cf641dbd9af5b53a04096449b820d4e64c4a3d
The checkpoint was trained on ImageNet with ImageNet-22K initialization
lineage. ImageNet's access agreement limits use of the dataset to
non-commercial research and education. No dataset file is included. The
Artistic checkpoint is excluded because it also uses undisclosed private data.