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
Commit History
14 days ago
-
Link all tokenizers to one collection
Verified signature5ffea22 -
Organize tokenizer editions and clarify usage
Verified signatureaa1c41a -
Keep original model card structure and examples
Verified signature865dd08 -
Preserve Python fallback for Euler resampling
Verified signature2477bae -
Add portable C++ encode/decode acceleration
Verified signatured20d01e
26 days ago
-
Document fixed native source revision
Verified signature511a2cf
29 days ago
-
Upload pretrained ActionCodec2 artifact
Verified signaturee2b06ac -
initial commit
Verified signature47ae3e3