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
Download adapter_model.safetensors from kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- 195eb8e4998ad2503e536183bdd56e4dfe475688c0ea37c6ff0cf797943b426d
- Size of remote file:
- 83.9 MB
- SHA256:
- 9f8232d71b04ea9fb82001782fda2a6809f9aa0e6de1d05283df2767a17579a6
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