Instructions to use cunghoctienganh/b702275d-23b5-4897-a306-7e984db67567 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/b702275d-23b5-4897-a306-7e984db67567 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, "cunghoctienganh/b702275d-23b5-4897-a306-7e984db67567") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ce360c807fa464c751c760d92c847b2e89ea770a83b47bad4d493412099e63e
- Size of remote file:
- 84 MB
- SHA256:
- 355a3e3ce507212cbbd7f4fd59c7abbddd431f1a67fd8a3a7d2560eae6b36e1a
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