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:
- b9b65b99c99235bf494db35901b64ad5ecaadfaa61d5f3271ab3f814e93ea63b
- Size of remote file:
- 319 MB
- SHA256:
- 8df11a618f0e8ffbae9d2741ce80cbbbbe4c95dd495af6eb3a90be0990ba0ddb
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