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README.md
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model = pimm.from_pretrained("hf://deeplearnphysics/panda-base")
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```
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Architecture + hyper-parameters travel in `config.json`, so no config file is
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needed. Weights are bitwise-identical to the original checkpoint.
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## Provenance
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Repackaged from the original [`panda`](https://github.com/DeepLearnPhysics/panda) checkpoints into the [`pimm`](https://github.com/youngsm/particle-imaging-models) export format. Inherits the source repo's license.
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model = pimm.from_pretrained("hf://deeplearnphysics/panda-base")
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```
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## Provenance
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Repackaged from the original [`panda`](https://github.com/DeepLearnPhysics/panda) checkpoints into the [`pimm`](https://github.com/youngsm/particle-imaging-models) export format. Inherits the source repo's license.
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