Instructions to use marcchew/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use marcchew/testing with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("garage-bAInd/Platypus2-7B") model = PeftModel.from_pretrained(base_model, "marcchew/testing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 554a18597e87ea15613f747e09586d9d815dc8889144a4b6b023754e8dfa4c6e
- Size of remote file:
- 16.8 MB
- SHA256:
- 28104f3b27eb920fedd04e0cfd542f12191eab53eacc9ec55eb5d57343fa4f4f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.