Instructions to use dada22231/8930a01c-082f-4c01-82c3-703887d7b3dc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/8930a01c-082f-4c01-82c3-703887d7b3dc 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, "dada22231/8930a01c-082f-4c01-82c3-703887d7b3dc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51fb7acce66064303ff06d6f73bac12e19c1a0d0903492725f94dcaa6e43c244
- Size of remote file:
- 6.84 kB
- SHA256:
- 1554ce806b8ef7f8d0017f96582818c3b856d067617e1a826ed1b5be8ed3dd12
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