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 last-checkpoint/optimizer.pt from kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605: direct link, hf CLI and curl.
- Browser
- Download file 43.1 MB
-
https://huggingface.co/kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605/resolve/6c7285a67a091e1e0ed2dd613be70931b45c013e/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605@6c7285a67a091e1e0ed2dd613be70931b45c013e/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605/resolve/6c7285a67a091e1e0ed2dd613be70931b45c013e/last-checkpoint/optimizer.pt
43.1 MB
- Xet hash:
- 3258c893584833306a6e29149ec52da659c3b213fbce29f5bdcf2655758ae44d
- Size of remote file:
- 43.1 MB
- SHA256:
- caffc911962f8e0eccda3755e5ed515835658eca874399b9d5cc64ab9f43e332
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