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sjiang1
/
codecse

Feature Extraction
Transformers
PyTorch
multilingual
roberta_for_cl
code
sentence embedding
Model card Files Files and versions
xet
Community
1

Instructions to use sjiang1/codecse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sjiang1/codecse with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sjiang1/codecse")
    # Load model directly
    from transformers import GraphCodeBERTForCL
    model = GraphCodeBERTForCL.from_pretrained("sjiang1/codecse", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
codecse
1.74 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
Siyuan Jiang
Replace the language "ruby" with "english"
68c856e about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    259 Bytes
    Replace the language "ruby" with "english" about 3 years ago