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 actioncodec2-0.1.0.tar.gz from ZibinDong/ActionCodec2: direct link, hf CLI and curl.
- Browser
- Download file 511 kB
-
https://huggingface.co/ZibinDong/ActionCodec2/resolve/main/actioncodec2-0.1.0.tar.gz
- Command line
-
hf download hf://ZibinDong/ActionCodec2/actioncodec2-0.1.0.tar.gz
-
curl -L -o actioncodec2-0.1.0.tar.gz https://huggingface.co/ZibinDong/ActionCodec2/resolve/main/actioncodec2-0.1.0.tar.gz
511 kB
- Xet hash:
- 33104b364fe6b38233cb0d2dadf65853415e1d0dfbf8f35d083f76f6bbc24aa1
- Size of remote file:
- 511 kB
- SHA256:
- 6e3dc31a8a8af57e780870af4f83b84116fec02316265101808a549d9339e613
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