Instructions to use alchemist69/50e42555-c03c-4c8c-8f49-ecc602637af1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/50e42555-c03c-4c8c-8f49-ecc602637af1 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, "alchemist69/50e42555-c03c-4c8c-8f49-ecc602637af1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc1bc2e8cd9ba918880226ede94ed4e5b3d2b59a181df89d0c2fab7768999b69
- Size of remote file:
- 14.2 kB
- SHA256:
- 1098446957996748852e29c22a5ff4ec680d645333bb122801fb8220c1fbb281
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