Instructions to use codesage/codesage-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codesage/codesage-small with Transformers:
# Load model directly from transformers import CodeSage model = CodeSage.from_pretrained("codesage/codesage-small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8111e7ae713731d604e78ae64ad89fb8dec284251abc9694ebe695b3e7dcd78b
- Size of remote file:
- 512 MB
- SHA256:
- 6e11d6245c4badfc538b36663a0559304047eab84b7c64640648cb9792b1d667
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