Instructions to use codesage/codesage-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codesage/codesage-base with Transformers:
# Load model directly from transformers import CodeSage model = CodeSage.from_pretrained("codesage/codesage-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70cc088ca31070afcea0f983d0f89336813b5a51e0d47d914367425dfdc9bd90
- Size of remote file:
- 1.42 GB
- SHA256:
- 4ad5b60f2ed2d54d6f3cb55db12a0a3dd2504aacb5fd934ab6a64b4afd1d8014
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