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 tokenizer.json from kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605/resolve/main/tokenizer.json
- Command line
-
hf download hf://kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kk-aivio/cd52ae9a-9eb7-4cfe-bdad-e281fa438605/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- a2251c6bff2c6c00b2fb78308145dd8b18dab1926ac9430862919148bd324ccf
- Size of remote file:
- 17.2 MB
- SHA256:
- 2539802b4016767e5475c0fa774895f4c33683f7c2ed9df643a61279e9ef1bd2
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