Instructions to use LUC1O/act-5090-C3_transfer_cube_scripted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use LUC1O/act-5090-C3_transfer_cube_scripted with LeRobot:
# 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
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Browse files
README.md
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---
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library_name: lerobot
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tags: [lerobot, act, robotics, aloha]
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datasets: [lerobot/aloha_sim_transfer_cube_scripted]
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---
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# ACT — C3_transfer_cube_scripted
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ACT trained with LeRobot (`ba83e4c`, official ACT hyperparameters: batch 8, lr 1e-5, chunk 100, 100k steps) on one RTX 5090.
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- Dataset: `lerobot/aloha_sim_transfer_cube_scripted`
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- Eval: `aloha` / `AlohaTransferCube-v0`, 200 episodes → **93.0%** success (186/200, 95% Wilson CI 88.6–95.8)
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- Full benchmark, logs and reproduction scripts: https://github.com/Jerryisqx/ACT-5090-benchmark
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```bash
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lerobot-eval --policy.path=LUC1O/act-5090-C3_transfer_cube_scripted --env.type=aloha --env.task=AlohaTransferCube-v0 --eval.n_episodes=50 --eval.use_async_envs=false
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```
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