Instructions to use ZibinDong/ActionCodec2-1st-order with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZibinDong/ActionCodec2-1st-order with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZibinDong/ActionCodec2-1st-order", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download actioncodec2_kernels/__init__.py from ZibinDong/ActionCodec2-1st-order: direct link, hf CLI and curl.
- Browser
- Download file 41 Bytes
-
https://huggingface.co/ZibinDong/ActionCodec2-1st-order/resolve/main/actioncodec2_kernels/__init__.py
- Command line
-
hf download hf://ZibinDong/ActionCodec2-1st-order/actioncodec2_kernels/__init__.py
-
curl -L -o __init__.py https://huggingface.co/ZibinDong/ActionCodec2-1st-order/resolve/main/actioncodec2_kernels/__init__.py
41 Bytes
| """Portable ActionCodec2 CPU kernels.""" | |