Instructions to use vdos/4f6d5dbe-c5bf-469a-a8bd-ac53a38104c1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/4f6d5dbe-c5bf-469a-a8bd-ac53a38104c1 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, "vdos/4f6d5dbe-c5bf-469a-a8bd-ac53a38104c1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- debad390c5257093c279180b0140b4a16b5c76fe3885e4b08f227c48907d4d07
- Size of remote file:
- 336 MB
- SHA256:
- 63128ffb5e33a232dd91db93594d4fe6afe8513cac272e5f56e13a61797c48d6
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