Instructions to use bane5631/4d500303-b97a-4916-93b4-ba57e881d08e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bane5631/4d500303-b97a-4916-93b4-ba57e881d08e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "bane5631/4d500303-b97a-4916-93b4-ba57e881d08e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02df4ddada7f2abe3d96f40991b9546ccb21bddc249338a13a6ad0de3f4a6dc4
- Size of remote file:
- 41.7 MB
- SHA256:
- bfb9896f0ecdef7584aab8d14e9fefe3efd4e507df6da62c69637a057c992167
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.