Instructions to use windopper/evil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use windopper/evil with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "windopper/evil") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3aef8f4e963a9a646f12546882eb1110903a44c2d54aa6a848439afb6c8168a2
- Size of remote file:
- 671 MB
- SHA256:
- 88d50400d6e76ee52ba50e59582653e5e195967cf1ecdbf646ad66813cedee7a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.