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
Download tokenizer.json from diffusion-reasoning/d1_SFT_us_countdown-2500: direct link, hf CLI and curl.
- Browser
- Download file 9.75 MB
-
https://huggingface.co/diffusion-reasoning/d1_SFT_us_countdown-2500/resolve/a8954777529636a4c3908458d90d79c834b1fe46/tokenizer.json
- Command line
-
hf download hf://diffusion-reasoning/d1_SFT_us_countdown-2500@a8954777529636a4c3908458d90d79c834b1fe46/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/diffusion-reasoning/d1_SFT_us_countdown-2500/resolve/a8954777529636a4c3908458d90d79c834b1fe46/tokenizer.json
9.75 MB
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