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Teradata
/
codesage-base

Feature Extraction
Transformers
ONNX
code
teradata
byom
embeddings
custom_code
Model card Files Files and versions
xet
Community

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
codesage-base / onnx
1.78 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
sasha-smirnov's picture
sasha-smirnov
Initial publish via td-embeddings
3e9ea69 verified 3 days ago
  • model-ffn_skip.onnx
    358 MB
    xet
    Initial publish via td-embeddings 3 days ago
  • model-fp32.onnx
    1.42 GB
    xet
    Initial publish via td-embeddings 3 days ago