Instructions to use nhung01/27d2e254-e373-4613-85f6-d3c9e86fd5ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung01/27d2e254-e373-4613-85f6-d3c9e86fd5ca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Orenguteng/Llama-3-8B-Lexi-Uncensored") model = PeftModel.from_pretrained(base_model, "nhung01/27d2e254-e373-4613-85f6-d3c9e86fd5ca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c7038fb97c71361586763bc329b5663eb70d5e6f4914048e6cd76e368a78775
- Size of remote file:
- 83.9 MB
- SHA256:
- bb457f247665f343e7ecf720b2b6699f7ceb5f1d4bb685790d9ef276fdeb5b55
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.