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monologg
/
koelectra-base-v2-discriminator

Transformers
PyTorch
Korean
electra
pretraining
korean
Model card Files Files and versions
xet
Community
1

Instructions to use monologg/koelectra-base-v2-discriminator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use monologg/koelectra-base-v2-discriminator with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForPreTraining
    
    tokenizer = AutoTokenizer.from_pretrained("monologg/koelectra-base-v2-discriminator")
    model = AutoModelForPreTraining.from_pretrained("monologg/koelectra-base-v2-discriminator")
  • Notebooks
  • Google Colab
  • Kaggle
koelectra-base-v2-discriminator
443 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
monologg's picture
monologg
Update README.md
b87e70e over 4 years ago
  • .gitattributes
    345 Bytes
    initial commit almost 6 years ago
  • README.md
    1.84 kB
    Update README.md over 4 years ago
  • config.json
    487 Bytes
    Update config.json almost 6 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    443 MB
    xet
    Support torch<=1.4 about 5 years ago
  • tokenizer_config.json
    65 Bytes
    fix: change tokenizer attribute over 5 years ago
  • vocab.txt
    255 kB
    Update vocab.txt almost 6 years ago