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 config.json from ZibinDong/ActionCodec2: direct link, hf CLI and curl.
- Browser
- Download file 153 Bytes
-
https://huggingface.co/ZibinDong/ActionCodec2/resolve/main/config.json
- Command line
-
hf download hf://ZibinDong/ActionCodec2/config.json
-
curl -L -o config.json https://huggingface.co/ZibinDong/ActionCodec2/resolve/main/config.json
153 Bytes
| { | |
| "model_type": "actioncodec2", | |
| "processor_class": "ActionCodec2", | |
| "auto_map": { | |
| "AutoProcessor": "processing_actioncodec2.ActionCodec2" | |
| } | |
| } | |