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:
- b6bffeb9a8b178287daec7c30fb84113337dc99078e688ceca4218cb3765745b
- Size of remote file:
- 671 MB
- SHA256:
- 742006f063ae3f0db4034eeb128b5709f56542b777656689ea0095277f539cee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.