Instructions to use Zacktree/code-bench-CodeGemma-7B-cg-nv9n_zs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Zacktree/code-bench-CodeGemma-7B-cg-nv9n_zs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-7b") model = PeftModel.from_pretrained(base_model, "Zacktree/code-bench-CodeGemma-7B-cg-nv9n_zs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 658bf2f1514e658b89688b431e719007294e28e8a20e24a70c0723b783c8175f
- Size of remote file:
- 6.9 kB
- SHA256:
- fafb48f693a5dce092c6ff7f6fccb0f3054967526a3ac0d1e9ec26fc625a0fd4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.