Add unet demo checkpoint (oil_spill smoke) + SHA256SUMS + model card

README.md

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+---
+license: apache-2.0
+library_name: pytorch
+tags:
+- remote-sensing
+- disaster-mapping
+- oil-spill
+- sar
+- segmentation
+---
+
+# unet.pth — AnyDisasterMapping demo checkpoint (oil_spill)
+
+Task-checkpoint for the [AnyDisasterMapping](https://github.com/SyedRafiAhmedGIS/AnyDisasterMapping) model zoo (`unet` key, oil-spill SAR segmentation, 3-class).
+
+- Architecture: UNet, 28.96M params
+- Training: 3 epochs on tiny synthetic smoke tiles (64x64, 8 samples), CPU smoke run
+- Test metrics (synthetic split): OA 5.10% / mIoU 4.18% — demo / pipeline-plumbing quality, NOT production accuracy
+- Purpose: end-to-end validation of the weights distribution pipeline. Replace with real trained weights later by uploading a new unet.pth + refreshed SHA256SUMS.
+
+## Download
+
+    python tools/download_weights.py --list
+    python tools/download_weights.py --model unet
+
+Checksums in SHA256SUMS (sha256sum format), auto-verified on download.

SHA256SUMS

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+e7f558892dee0be226e9dbc19de18e28df8438d1483104deeb8f821210239c59  unet.pth

unet.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e7f558892dee0be226e9dbc19de18e28df8438d1483104deeb8f821210239c59
+size 115920053