|
Download README.md from danielbogdoll/iad-weights-method-batch1: direct link, hf CLI and curl.
- Browser
- Download file 815 Bytes
-
https://huggingface.co/danielbogdoll/iad-weights-method-batch1/resolve/main/README.md
- Command line
-
hf download hf://danielbogdoll/iad-weights-method-batch1/README.md
-
curl -L -o README.md https://huggingface.co/danielbogdoll/iad-weights-method-batch1/resolve/main/README.md
815 Bytes
metadata
license: mit
tags:
- anomaly-segmentation
UNO M2 seeds (native route, batch 1)
Three seeds of the UNO M2 training (run uno_m2_seeds).
6 files, 7.24 GiB. Paths are relative to the root of the research code; index.json lists each
file's size and sha256. Each folder keeps the run manifest (command, commit, configuration) and/or the Detectron2
config.yaml of its training.
| Folder | Checkpoints | Run | Command (first attempt) |
|---|---|---|---|
output/method_batch1/uno_m2_seeds/seed1/train |
1 | see config.yaml | |
output/method_batch1/uno_m2_seeds/seed2/train |
1 | see config.yaml | |
output/method_batch1/uno_m2_seeds/seed3/train |
1 | see config.yaml |
Restore into a checkout of the research code: uv run python scripts/ops/backup_weights.py pull --only method-batch1.