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:
- eb74fa08487428330474da950ab44c6dad0af9524ad07591dfa5d934a5d37039
- Size of remote file:
- 71.4 MB
- SHA256:
- f099c80a0cdd37bec9263ac3255e3396df8b91e699a9d75b0ccd0d40f8643f41
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.