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
Download processor_config.json from ZibinDong/ActionCodec2-2nd-order: direct link, hf CLI and curl.
- Browser
- Download file 210 Bytes
-
https://huggingface.co/ZibinDong/ActionCodec2-2nd-order/resolve/main/processor_config.json
- Command line
-
hf download hf://ZibinDong/ActionCodec2-2nd-order/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/ZibinDong/ActionCodec2-2nd-order/resolve/main/processor_config.json
210 Bytes
| { | |
| "processor_class": "ActionCodec2", | |
| "action_space": "single_eef_delta", | |
| "fitted_profiles": [ | |
| "eef", | |
| "joint" | |
| ], | |
| "auto_map": { | |
| "AutoProcessor": "processing_actioncodec2.ActionCodec2" | |
| } | |
| } | |