Instructions to use Swephoenix/phi4-lora-xaji0y6d-1742330134 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Swephoenix/phi4-lora-xaji0y6d-1742330134 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-mini-instruct") model = PeftModel.from_pretrained(base_model, "Swephoenix/phi4-lora-xaji0y6d-1742330134") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70bca8f4e660a47cbf96f2c9240bf14d28cb8ac949710f4e7f6ee1a3073c2efd
- Size of remote file:
- 5.43 kB
- SHA256:
- ffc7fde47f49e2f6563077447106b2d62a5b874eda873c750a7205522a19973b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.