Instructions to use nannnzk/task-7-microsoft-Phi-4-mini-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nannnzk/task-7-microsoft-Phi-4-mini-instruct 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, "nannnzk/task-7-microsoft-Phi-4-mini-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 208c7ca344b9bfb9bd8fc39db7a7271da0d715adb07a02083674e154783c5f2d
- Size of remote file:
- 5.5 kB
- SHA256:
- 2c1da22d88c92cc2e8c34a46aef06318cf14999176a442e12859ff69bde5dacf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.