Instructions to use ZibinDong/ActionCodec2-2nd-order with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZibinDong/ActionCodec2-2nd-order with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZibinDong/ActionCodec2-2nd-order", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 210 Bytes
fee0e43 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"processor_class": "ActionCodec2",
"action_space": "single_eef_delta",
"fitted_profiles": [
"eef",
"joint"
],
"auto_map": {
"AutoProcessor": "processing_actioncodec2.ActionCodec2"
}
}
|