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)

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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.

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90.8M params
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Collection including DeepLearnPhysics/Panda-Base