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beomi
/
KcBERT-v2023

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

Instructions to use beomi/KcBERT-v2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use beomi/KcBERT-v2023 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="beomi/KcBERT-v2023")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("beomi/KcBERT-v2023")
    model = AutoModelForMaskedLM.from_pretrained("beomi/KcBERT-v2023")
  • Notebooks
  • Google Colab
  • Kaggle
KcBERT-v2023
1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
beomi's picture
beomi
Add 1M ckpt
e35adef about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    21 Bytes
    initial commit about 3 years ago
  • config.json
    678 Bytes
    Add 1M ckpt about 3 years ago
  • flax_model.msgpack
    499 MB
    xet
    Add 1M ckpt about 3 years ago
  • merges.txt
    967 kB
    set new tokenizer about 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    Add 1M ckpt about 3 years ago
  • special_tokens_map.json
    279 Bytes
    set new tokenizer about 3 years ago
  • tokenizer.json
    3.13 MB
    set new tokenizer about 3 years ago
  • tokenizer_config.json
    339 Bytes
    set new tokenizer about 3 years ago
  • vocab.json
    1.31 MB
    set new tokenizer about 3 years ago