Instructions to use rzr1331/phi-3-mini-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rzr1331/phi-3-mini-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "rzr1331/phi-3-mini-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6816c1d33e1a9d9a5c9b465ff1abac1580a330721ebb9618c9f06fc9d8dcf4f
- Size of remote file:
- 35.7 MB
- SHA256:
- 4c887384c1d164e307ea2a517cd312f4b7a012c662d14c66643c100c43eeee91
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.