Instructions to use Zacktree/code-bench-CodeGemma-7B-cgv1-ds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Zacktree/code-bench-CodeGemma-7B-cgv1-ds 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-cgv1-ds") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Zacktree/code-bench-CodeGemma-7B-cgv1-ds: direct link, hf CLI and curl.
- Browser
- Download file 6.52 kB
-
https://huggingface.co/Zacktree/code-bench-CodeGemma-7B-cgv1-ds/resolve/main/training_args.bin
- Command line
-
hf download hf://Zacktree/code-bench-CodeGemma-7B-cgv1-ds/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Zacktree/code-bench-CodeGemma-7B-cgv1-ds/resolve/main/training_args.bin
6.52 kB
- Xet hash:
- 10bdf52b3f1622aa9f2bd6fb7701384433e2a19a527beb93c49327db9c30c00e
- Size of remote file:
- 6.52 kB
- SHA256:
- 83b6984f5b8a8021a2c3b819af3d6977f4ff080d29179983a1691346d430460c
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