Instructions to use kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605 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, "kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0fac6f37faa9001b11de1dabc2c9856e0f05e2e74e6c5bb691f8a0047281520
- Size of remote file:
- 84 MB
- SHA256:
- 135b9995908a998b8052d23f282149d3e291daa3809b62ac76be6084e1fd1f1c
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