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:
- 90f602b2739472ee47a7d006e6c984619f51ea55c4b45112df5602bdc28443c2
- Size of remote file:
- 15 kB
- SHA256:
- 7de55ee15c3cd129cb71af9f4022fb91e841dde31069a141e76369a166ffc5e0
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