Instructions to use vish26/phi2-cookbook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vish26/phi2-cookbook with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "vish26/phi2-cookbook") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 516cff779c1b5b917d1dc6c55abbf1861422b80610fd11630481d26538fc0e58
- Size of remote file:
- 73.8 MB
- SHA256:
- 7c02f9e19b0221fe5c952cd4535559899c42c06b4e18fe86ad3c7863e19c9cf0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.