Instructions to use diffusion-reasoning/d1_SFT_us_countdown-2500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use diffusion-reasoning/d1_SFT_us_countdown-2500 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("GSAI-ML/LLaDA-8B-Instruct") model = PeftModel.from_pretrained(base_model, "diffusion-reasoning/d1_SFT_us_countdown-2500") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c985aae17c276bd36ff57687c0acb1a9590220fe67aaf44a2a6fab0ca2f801b
- Size of remote file:
- 336 MB
- SHA256:
- 57a53882a6a5fc40e7c00db78e56380cfe2af15b2a7b3700f55fc635ac73be4d
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