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beomi
/
kcbert-large-dev

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="beomi/kcbert-large-dev")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("beomi/kcbert-large-dev")
    model = AutoModelForMaskedLM.from_pretrained("beomi/kcbert-large-dev")
  • Notebooks
  • Google Colab
  • Kaggle
kcbert-large-dev
2.68 GB
Ctrl+K
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  • 1 contributor
History: 10 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
ce1a3f6 almost 5 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • config.json
    672 Bytes
    Update config.json almost 6 years ago
  • flax_model.msgpack
    1.34 GB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.34 GB
    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