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:
# pip install -U transformers accelerate # 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
Download training_args.bin from sengi/LLaDA-planner_balanced: direct link, hf CLI and curl.
- Browser
- Download file 12.9 kB
-
https://huggingface.co/sengi/LLaDA-planner_balanced/resolve/main/training_args.bin
- Command line
-
hf download hf://sengi/LLaDA-planner_balanced/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sengi/LLaDA-planner_balanced/resolve/main/training_args.bin
12.9 kB
- Xet hash:
- 9c812da21931ba465095a67c990b84951ea5f29f53cb2bbad32ab341aa30b9df
- Size of remote file:
- 12.9 kB
- SHA256:
- 6ba55ec3739c885f1922091794467be0f9d9cacb2c8c3c32299640905d2f734c
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