Instructions to use lerobot/g05_so101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use lerobot/g05_so101 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
Commit History
25 days ago
-
Drop the bbox image size step: bbox targets are [0, 1] image fractions
Verified signatureca24a97
28 days ago
-
Add the bbox image size step to the preprocessor
Verified signature2a04bbc
30 days ago
-
Declare processor artifacts and drop removed config fields
Verified signaturecf71cf7 -
Clear the baked-in source checkpoint path from the tokenizer step
Verified signature0c04d7e
-
Add the SO-100/SO-101 joint-frame steps (#1)
- Add the SO-100/SO-101 joint-frame steps (53a4bbdb81a23c5575b4b9acc9196946de5a3b9e) - Update render step for lerobot #4183 (03938e4c5fe3e14ce5cb2c7bac708448fff6acf9) - Drop policy_config from the tokenizer step (f74eea1d713ea141bb41ce11e2990f0aa344c1c8)e13437c
-
Move G0.5 tokenization into policy processor
Verified signature98f4242 -
Use unified semantic-message processor
Verified signatureReplace separate runtime/training renderers with one RenderMessagesStep, embed the policy recipe, and preserve all model and normalization tensors.636b519
-
Add standard observation rename processor
Verified signature01f70ea -
Add converted G0.5 SO-101 checkpoint
Verified signatured3c9a78