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SolarisCipher
/
HKELECTRA

Feature Extraction
Transformers
TensorBoard
Yue Chinese
Chinese
ELECTRA
pretrained
masked-language-model
replaced-token-detection
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use SolarisCipher/HKELECTRA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="SolarisCipher/HKELECTRA")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("SolarisCipher/HKELECTRA", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
HKELECTRA
8.88 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
SolarisCipher's picture
SolarisCipher
Update README.md
076d776 verified 9 months ago
  • discriminator
    initial commit 9 months ago
  • generator
    initial commit 9 months ago
  • runs
    initial commit 9 months ago
  • tf_checkpoint
    initial commit 9 months ago
  • .gitattributes
    1.79 kB
    initial commit 9 months ago
  • README.md
    3.92 kB
    Update README.md 9 months ago