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:
- 1adf20123c74018259eeaae3c64dfc63218c4dddf876d54e08b568e07e5afb54
- Size of remote file:
- 1.06 kB
- SHA256:
- ca9a25c72339c898b564e0c464a3f6fc75bbeec408008928b7ed05533156b98c
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