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:
- 10161c1a5a3aaea7536c849a82f68c52474effc47cfc192c929025161cdd0a37
- Size of remote file:
- 336 MB
- SHA256:
- d8c08146f638d13aa11f36e93f1859d3fa0904a980861e95ae768fa3c32b521e
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