Instructions to use codesage/codesage-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codesage/codesage-large with Transformers:
# Load model directly from transformers import CodeSage model = CodeSage.from_pretrained("codesage/codesage-large", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18d745ee7b324dd66cded91793ac25ae583926161e84dfea60f9c1d0c4b1989c
- Size of remote file:
- 5.25 GB
- SHA256:
- 382c424a4dabe4131c92f962e5af73aa9a947189c3960ad514beb39ccfa9a83f
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