Instructions to use sengi/LLaDA-planner_balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sengi/LLaDA-planner_balanced with Transformers:
# Load model directly from transformers import LLaDOUModelLM model = LLaDOUModelLM.from_pretrained("sengi/LLaDA-planner_balanced", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f3ae441cddd985aca5e1e04ea0bf2d3d374042a6f862c386d958b505ac63294
- Size of remote file:
- 12.9 kB
- SHA256:
- 9f769653aaa1e20b1163337f2ff624cd8804784dfc5a351c39c5aba23cf90280
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.