Instructions to use Zacktree/code-bench-CodeGemma-7B-cgv1-ds_v2 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_v2 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_v2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Zacktree/code-bench-CodeGemma-7B-cgv1-ds_v2: direct link, hf CLI and curl.
- Browser
- Download file 6.52 kB
-
https://huggingface.co/Zacktree/code-bench-CodeGemma-7B-cgv1-ds_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://Zacktree/code-bench-CodeGemma-7B-cgv1-ds_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Zacktree/code-bench-CodeGemma-7B-cgv1-ds_v2/resolve/main/training_args.bin
6.52 kB
- Xet hash:
- 52c910db19304abda64d6dea011de33f61acc64f2a31af837a4cb52afe81a480
- Size of remote file:
- 6.52 kB
- SHA256:
- 65e3d8b074b5c3f1fa5f8d5da34d885ef0fd700e2d8ef13e4a8e8db94dc6af43
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