Instructions to use Zacktree/code-bench-CodeGemma-7B-cg-nv9n 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 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") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Zacktree/code-bench-CodeGemma-7B-cg-nv9n: direct link, hf CLI and curl.
- Browser
- Download file 6.9 kB
-
https://huggingface.co/Zacktree/code-bench-CodeGemma-7B-cg-nv9n/resolve/main/training_args.bin
- Command line
-
hf download hf://Zacktree/code-bench-CodeGemma-7B-cg-nv9n/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Zacktree/code-bench-CodeGemma-7B-cg-nv9n/resolve/main/training_args.bin
6.9 kB
- Xet hash:
- 526f6f8a257ea9a9a9ccbc6927335e1255762840e1f9c833e0b981428c4c75e0
- Size of remote file:
- 6.9 kB
- SHA256:
- 0a16b815f53bd4513c2b4f07bc95d454eb203dbe028b2a1c071040d5bdd8f77f
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