You can deploy this model and start earning money today!

saifahmad123/
EXP3_30_a100

Views

No views yet

EXP3_30_a100

openpi π₀.₅ policy checkpoint.

Train config: pi05_Franka_EXP3_30
Experiment: EXP3_30_a100
Checkpoints in this repo:
step_9999/

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

Training dataset: saifahmad123/EXP3_30

Path	Purpose
`step_9999/params/`	Model weights. Required to serve the policy.
`step_9999/assets/`	Normalization statistics. Required to serve the policy.
`step_9999/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/EXP3_30_a100", allow_patterns="step_9999/*") + "/step_9999"
train_config = _config.get_config("pi05_Franka_EXP3_30")
policy = policy_config.create_trained_policy(train_config, ckpt)

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

saifahmad123/EXP3_30_a100

EXP3_30_a100

Contents

Usage

saifahmad123/
EXP3_30_a100