Instructions to use adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5 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, "adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bdbb75b607b5a3e112f2e6965468f191b96cdd17ae069f9f2cff18e79a2f6fd
- Size of remote file:
- 6.78 kB
- SHA256:
- 29a83864d7f19d0a3d091798d8d30ae4b1ceb6e8e3bb2a84099474a1ba982d22
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