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
File size: 159 Bytes
85fb22c | 1 2 3 4 5 6 7 8 | {
"processor_class": "ActionCodec2",
"auto_map": {
"AutoProcessor": "processing_actioncodec2.ActionCodec2"
},
"variant_catalog": "variants.json"
}
|