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beomi
/
kcbert-base-dev

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

Instructions to use beomi/kcbert-base-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use beomi/kcbert-base-dev with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="beomi/kcbert-base-dev")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("beomi/kcbert-base-dev")
    model = AutoModelForMaskedLM.from_pretrained("beomi/kcbert-base-dev")
  • Notebooks
  • Google Colab
  • Kaggle
kcbert-base-dev
1.31 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
13e8e6c almost 3 years ago
  • .gitattributes
    445 Bytes
    Adding `safetensors` variant of this model almost 3 years ago
  • config.json
    619 Bytes
    Update config.json almost 6 years ago
  • flax_model.msgpack
    436 MB
    xet
    upload flax model almost 5 years ago
  • model.safetensors
    438 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin
    438 MB
    xet
    Update pytorch_model.bin almost 6 years ago
  • tokenizer_config.json
    49 Bytes
    Update tokenizer_config.json almost 6 years ago
  • vocab.txt
    250 kB
    Update vocab.txt almost 6 years ago