fine-tuning-serving-openpi

SKILLFlujo de trabajocomunidad
v0.0.0Orchestra-ResearchMITActualizado hace 2 mFuente →

Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference serve

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Skill
AutorOrchestra-Research
Versión0.0.0
LicenciaMIT
CategoríaFlujo de trabajo
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Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference servers, or debugging norm stats and GPU memory issues.

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