Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

monologg
/
koelectra-base-generator

Fill-Mask
Transformers
PyTorch
Korean
electra
korean
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use monologg/koelectra-base-generator with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="monologg/koelectra-base-generator")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("monologg/koelectra-base-generator")
    model = AutoModelForMaskedLM.from_pretrained("monologg/koelectra-base-generator")
  • Notebooks
  • Google Colab
  • Kaggle
koelectra-base-generator
Ctrl+K
Ctrl+K
  • 2 contributors
History: 55 commits
monologg's picture
monologg
Update README.md
fe6a714 over 4 years ago
  • .gitattributes
    345 Bytes
    initial commit about 6 years ago
  • README.md
    1.44 kB
    Update README.md over 4 years ago
  • config.json
    463 Bytes
    Update config.json about 6 years ago
  • pytorch_model.bin
    140 MB
    xet
    Support torch<=1.4 about 5 years ago
  • tokenizer_config.json
    51 Bytes
    Update tokenizer_config.json about 6 years ago
  • vocab.txt
    279 kB
    Update vocab.txt about 6 years ago