Instructions to use ZibinDong/ActionCodec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZibinDong/ActionCodec2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZibinDong/ActionCodec2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pyproject.toml from ZibinDong/ActionCodec2: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/ZibinDong/ActionCodec2/resolve/main/pyproject.toml
- Command line
-
hf download hf://ZibinDong/ActionCodec2/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/ZibinDong/ActionCodec2/resolve/main/pyproject.toml
112 Bytes
| [build-system] | |
| requires = ["setuptools>=77", "wheel", "pybind11>=2.12"] | |
| build-backend = "setuptools.build_meta" | |