metadata
library_name: pimm
tags:
- particle-physics
- lartpc
- point-cloud
Panda — PointTransformerV3 encoder (pretrained)
PointTransformerV3 (PT-v3m2) encoder pretrained with masked point modeling on LArTPC (PILArNet) data. Backbone / warm-start for downstream tasks (no task head).
- pimm type:
PT-v3m2· encoder-only · enc_channels (48,96,192,384,512)
Loading
import pimm
model = pimm.from_pretrained("hf://deeplearnphysics/panda-base")
Architecture + hyper-parameters travel in config.json, so no config file is
needed. Weights are bitwise-identical to the original checkpoint.
Provenance
Repackaged from the original panda checkpoints into the pimm export format. Inherits the source repo's license.