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:
- 0a5a90139a1fa8fff7af9bc0d118aa0fff3f089bbcae44487ce1f219681288ad
- Size of remote file:
- 358 MB
- SHA256:
- b6bc05d273d77de0f4b0e0fe5e67676dcf35d5b989113dfcd86f956276d21b68
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