Instructions to use quasar529/rainbow-padding-llada with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use quasar529/rainbow-padding-llada with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("GSAI-ML/LLaDA-8B-Base") model = PeftModel.from_pretrained(base_model, "quasar529/rainbow-padding-llada") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ca8da1677b4b92de58af93a5bf13d8b6f08c6660cede18a2847e0fb068710f0
- Size of remote file:
- 638 MB
- SHA256:
- 625180ef18c7dd1ee99268206f5fbcaab3f5b00f19408f4005c976b0780d77f4
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