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 final/tokenizer.json from sujalgawas/codegemma-2b-code-reviewer_V1: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/sujalgawas/codegemma-2b-code-reviewer_V1/resolve/main/final/tokenizer.json
- Command line
-
hf download hf://sujalgawas/codegemma-2b-code-reviewer_V1/final/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sujalgawas/codegemma-2b-code-reviewer_V1/resolve/main/final/tokenizer.json
34.4 MB
- Xet hash:
- 797fcd95defb0525fd644583b44fa72eddadc700268dc677bbf1e9f1cfe2c02c
- Size of remote file:
- 34.4 MB
- SHA256:
- 83d1a3e50bab7af7cffdab543ccf7ae59e629c8481a5f58dbcd4073c7d65d74b
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