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:
- 6aa13a66469e15bfb7686dfe635bb4ed45f8edb70cf2e52d3edc62e0db983995
- Size of remote file:
- 628 MB
- SHA256:
- e47614564fd6ab18eafda4af1ee63eb78178eddd90a806987b60eac5c1fb6001
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.