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:
- 1620497223d5a34377a30f76d75e4a7f6d7b42fbaef76991ab15c558bc8ca6d2
- Size of remote file:
- 341 MB
- SHA256:
- 221eeb7bc1ac33c823b211bd9061f0ffcd7a9c48b9e5da192c9c00e3e64e9109
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.