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saifahmad123/
EXP9_ALL_h100

Name: EXP9_ALL_h100
Availability: InStock

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EXP9_ALL_h100

openpi π₀.₅ policy checkpoint.

Train config: pi05_Franka_EXP9_ALL
Experiment: EXP9_ALL_h100
Checkpoints in this repo:
step_10000/
step_19999/

Each folder is one training step and is self-contained.

Training dataset: saifahmad123/EXP9_ALL

Path	Purpose
`step_19999/params/`	Model weights. Required to serve the policy.
`step_19999/assets/`	Normalization statistics. Required to serve the policy.
`step_19999/train_state/`	Optimizer state. Only present if uploaded with `--include-train-state`; needed to resume training.

Usage

python

from huggingface_hub import snapshot_download
from openpi.policies import policy_config
from openpi.training import config as _config

ckpt = snapshot_download("saifahmad123/EXP9_ALL_h100", allow_patterns="step_19999/*") + "/step_19999"
train_config = _config.get_config("pi05_Franka_EXP9_ALL")
policy = policy_config.create_trained_policy(train_config, ckpt)

action_chunk = policy.infer(observation)["actions"]

saifahmad123/EXP9_ALL_h100

EXP9_ALL_h100

Contents

Usage

saifahmad123/
EXP9_ALL_h100