Instructions to use QinLiuNLP/llama3-sudo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use QinLiuNLP/llama3-sudo with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "QinLiuNLP/llama3-sudo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddccceee92e0397dfb7f021636f4fd0a03472713988ae3d8c3daca1b6dffa28b
- Size of remote file:
- 6.9 kB
- SHA256:
- c99b33a61873ee90046c0f4b37c5fbe4914334128aec99b883a988415fb7ab5f
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