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JunHwi
/
p_encoder_test

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use JunHwi/p_encoder_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="JunHwi/p_encoder_test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("JunHwi/p_encoder_test")
    model = AutoModelForMaskedLM.from_pretrained("JunHwi/p_encoder_test")
  • Notebooks
  • Google Colab
  • Kaggle
p_encoder_test
443 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
JunHwi's picture
JunHwi
fix model name
a584fc8 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    454 Bytes
    add config.json over 3 years ago
  • pytorch_model.bin
    443 MB
    xet
    fix model name over 3 years ago