Instructions to use savage1221/aa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use savage1221/aa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "savage1221/aa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecbb7f87abd20b29e7020cb1197b37ce210f65ca93976907a13f63e392c4546c
- Size of remote file:
- 35.7 MB
- SHA256:
- e8437ec15e943aded459b30159ac4616546bc20f83b984c39154d0a04ef4ffec
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.