Instructions to use Surabhi-K/phi3_15epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Surabhi-K/phi3_15epochs 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, "Surabhi-K/phi3_15epochs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b75dc9321b5311770f7418795b2f98d5896fc9ec5f14546444137b6122e1a8e8
- Size of remote file:
- 1.06 kB
- SHA256:
- bf72ff674c4d7b184c8aa1b2af572e0aa537a40db0cf8ad80bb97ff5eb161408
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.