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
Download tokenizer_llada/tokenizer.json from quasar529/rainbow-padding-llada: direct link, hf CLI and curl.
- Browser
- Download file 6.1 MB
-
https://huggingface.co/quasar529/rainbow-padding-llada/resolve/main/tokenizer_llada/tokenizer.json
- Command line
-
hf download hf://quasar529/rainbow-padding-llada/tokenizer_llada/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/quasar529/rainbow-padding-llada/resolve/main/tokenizer_llada/tokenizer.json
6.1 MB
File too large to display, you can check the raw version instead.