Instructions to use afrias5/codeGemma-7bScore-56 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use afrias5/codeGemma-7bScore-56 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-7b") model = PeftModel.from_pretrained(base_model, "afrias5/codeGemma-7bScore-56") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from afrias5/codeGemma-7bScore-56: direct link, hf CLI and curl.
- Browser
- Download file 8.44 kB
-
https://huggingface.co/afrias5/codeGemma-7bScore-56/resolve/main/training_args.bin
- Command line
-
hf download hf://afrias5/codeGemma-7bScore-56/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/afrias5/codeGemma-7bScore-56/resolve/main/training_args.bin
8.44 kB
- Xet hash:
- 269046c5d3571878101f63db261c2032bdbceafddcc09fa921b74b154095f243
- Size of remote file:
- 8.44 kB
- SHA256:
- 4160d987ba69b838ac392ee8cae0377a51765cdfef11841a9faf5058131f61fc
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