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:
- 908e0183baa009b7759776146940630e282d0591aa1e8c59ebd78c2c122141f4
- Size of remote file:
- 6.78 kB
- SHA256:
- bb430aee5d6048016ba47032ac51b4e2fc3a5b7c892afd8a9733cebb61b887dd
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