Instructions to use sujalgawas/codegemma-2b-code-reviewer_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujalgawas/codegemma-2b-code-reviewer_V1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sujalgawas/codegemma-2b-code-reviewer_V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sujalgawas/codegemma-2b-code-reviewer_V1: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/sujalgawas/codegemma-2b-code-reviewer_V1/resolve/main/training_args.bin
- Command line
-
hf download hf://sujalgawas/codegemma-2b-code-reviewer_V1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sujalgawas/codegemma-2b-code-reviewer_V1/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 3322097690d0ae1f58017eb076cfabef7311d676b23d248b687fc403b6f576bd
- Size of remote file:
- 5.78 kB
- SHA256:
- 9eb97127f3633f0387d329b923ad0716a30b1001fb17ad9a7247f8ed8a4f5dab
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