Instructions to use Zacktree/code-bench-CodeGemma-7B-cgv1-ds_v3 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_v3 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_v3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Zacktree/code-bench-CodeGemma-7B-cgv1-ds_v3: direct link, hf CLI and curl.
- Browser
- Download file 6.52 kB
-
https://huggingface.co/Zacktree/code-bench-CodeGemma-7B-cgv1-ds_v3/resolve/main/training_args.bin
- Command line
-
hf download hf://Zacktree/code-bench-CodeGemma-7B-cgv1-ds_v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Zacktree/code-bench-CodeGemma-7B-cgv1-ds_v3/resolve/main/training_args.bin
6.52 kB
- Xet hash:
- fa7c308124fcd295c8b704b32c05d7c97ada47303e18f8b83bf21baefe3c64d3
- Size of remote file:
- 6.52 kB
- SHA256:
- 1d22d1340205d3ec8882821b1d16d47de6dd78ab1ad37edf1172fa75949a3fa4
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