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:
- 1ae64405f42b829772d5d4e81baff8a4fe9b5a51a787199e943a745d15999367
- Size of remote file:
- 71.4 MB
- SHA256:
- b4491bb6b3ea0b423d4f2f8c68621a85655b044cd4e69e42184e8a5cfbadbe56
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.