Instructions to use lerobot/act_aloha_sim_transfer_cube_human with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lerobot/act_aloha_sim_transfer_cube_human with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lerobot/act_aloha_sim_transfer_cube_human", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add Robotics tag and metadata
#5
by reach-vb - opened
README.md
CHANGED
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@@ -63,4 +63,4 @@ python lerobot/scripts/eval.py \
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--use_amp=false
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```
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The original code was heavily refactored, and some bugs were spotted along the way. The differences in code may account for the difference in success rate. Another possibility is that our simulation environment may use slightly different heuristics to evaluate success (we've observed that success is registered as soon as the second arm's gripper makes antipodal contact with the cube). Finally, one should observe that the in-training evaluation jumps up towards the end of training. This may need further investigation (Is it statistically significant? If so, what is the cause?).
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--use_amp=false
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```
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The original code was heavily refactored, and some bugs were spotted along the way. The differences in code may account for the difference in success rate. Another possibility is that our simulation environment may use slightly different heuristics to evaluate success (we've observed that success is registered as soon as the second arm's gripper makes antipodal contact with the cube). Finally, one should observe that the in-training evaluation jumps up towards the end of training. This may need further investigation (Is it statistically significant? If so, what is the cause?).
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