Instructions to use adityasihag/math_QA-gemma-2B-QLoRA-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adityasihag/math_QA-gemma-2B-QLoRA-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "adityasihag/math_QA-gemma-2B-QLoRA-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8602f71f772dcbc0593e20ce07a61801f8da9419b3bc615a8b6ce279646802b8
- Size of remote file:
- 4.24 MB
- SHA256:
- 6969e64047744a44bb3abfb5c50f8de0f7ed8b571d5444426ef931f651d1a0ef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.