Instructions to use albus2024/dita_droid_pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use albus2024/dita_droid_pretrain 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
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Update Dita training configuration and bundled runtime to 2.1.0
Verified signatureEnable full-backbone fine-tuning and inference checkpoint bypass; add native LoRA support. Align optimizer groups and the warmup/cosine schedule with the upstream LIBERO recipe, including LIBERO-Long's higher learning rate. Preserve all model weights and processors. Bundle the tested 2.1.0 wheel, source hashes, validation reports, and archived 2.0.1 metadata.1277b9e
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Add binary/continuous gripper modes with DITA runtime 2.0.0
Verified signatureUpdate policy/processor configs, runtime wheel, documentation and real-data validation. Preserve model weights and LIBERO statistic tensors.219a93a -
Add DROID fine-tuning initialization and Dita 1.0.3 runtime
Verified signaturebbae5b1