Instructions to use InfurnusWolf/batch-3-2001-3000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use InfurnusWolf/batch-3-2001-3000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "InfurnusWolf/batch-3-2001-3000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 935b36b4f4ff87b294086264af4e0757fd19c1e8f502328ec4d5883361ef08e7
- Size of remote file:
- 5.37 kB
- SHA256:
- b76dafc07ce3d489ee24a9f28a789617c053f72d3112facc0e9df9a70d083ff8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.