Instructions to use prxy5604/1d0b0ed5-2d83-4cdf-8ecd-1e342748bada with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/1d0b0ed5-2d83-4cdf-8ecd-1e342748bada 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, "prxy5604/1d0b0ed5-2d83-4cdf-8ecd-1e342748bada") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- baadca65ff373b5db5cffdde47c4147e8ae144e42e4edb6aca673463b7728b9e
- Size of remote file:
- 6.84 kB
- SHA256:
- 94647ed986b8f0da4439d96e9e586e3fa7174990fbc0133463a395b0257a1727
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.