Instructions to use axiboai/pi05_piper_stacking_v3_latency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use axiboai/pi05_piper_stacking_v3_latency with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
pi05_piper_stacking_v3_latency - step 9999
Chef-style latency-aware cube-stacking policy. Same data as axiboai/piper_stacking_v3 (155 eps),
trained from pi05_base with a training-time action-target shift of 5 frames (obs[t] -> action[t+5:t+5+H],
176ms exec @30fps). Clean A/B vs pi05_piper_stacking_v3. Checkpoint: step 9999 / 10000 (final 9999 to follow).
Prompt: stack red cube on blue cube
import pathlib
from huggingface_hub import snapshot_download
from openpi.training import config as _config
from openpi.policies import policy_config
ckpt = pathlib.Path(snapshot_download("axiboai/pi05_piper_stacking_v3_latency"))
policy = policy_config.create_trained_policy(_config.get_config("pi05_piper_stacking_v3_latency"), ckpt)
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