Instructions to use Teradata/codesage-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teradata/codesage-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Teradata/codesage-base", trust_remote_code=True)# Load model directly from transformers import CodeSage model = CodeSage.from_pretrained("Teradata/codesage-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da128f556f8c40a36457174bc6186dc8b6a38a9cde036a9a2940eebca5af239d
- Size of remote file:
- 1.42 GB
- SHA256:
- 5036be2a0c15dd40ac58a63c1f93da9e0129a6514f175779a5e13fa478ddb9ce
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