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EXP9_ALL_h100
saifahmad123/EXP9_ALL_h100
EXP9_ALL_h100 is a robotics model from saifahmad123. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for openpi.
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Public
Updated Aug 22, 2026
Repo size
12.7 GB
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At a glance
- Task
- Robotics
- Library
- openpi
- Access
- Public
- Created
- Aug 22, 2026
- Updated
- Aug 22, 2026
- SHA
- 8ddc2b77
Model card
From the Hugging Face model README
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
Contents
| 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
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"]
- Task
- Robotics
- Library
- openpi
- Created
- Aug 22, 2026
- Updated
- Aug 22, 2026