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monologg
/
kobert

Feature Extraction
Transformers
PyTorch
JAX
Safetensors
Korean
bert
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Transformers

    How to use monologg/kobert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="monologg/kobert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("monologg/kobert")
    model = AutoModel.from_pretrained("monologg/kobert")
  • Notebooks
  • Google Colab
  • Kaggle
kobert
1.11 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 20 commits
monologg's picture
monologg
docs: deactivate inference widget
3827918 over 1 year ago
  • .gitattributes
    445 Bytes
    Adding `safetensors` variant of this model (#2) almost 3 years ago
  • README.md
    449 Bytes
    docs: deactivate inference widget over 1 year ago
  • config.json
    426 Bytes
    feat: update on tokenizer_config over 1 year ago
  • flax_model.msgpack
    369 MB
    xet
    upload flax model almost 5 years ago
  • model.safetensors
    369 MB
    xet
    Adding `safetensors` variant of this model (#2) almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    369 MB
    xet
    Update pytorch_model.bin over 6 years ago
  • tokenization_kobert.py
    10.9 kB
    feat: add auto_map over 1 year ago
  • tokenizer_78b3253a26.model
    371 kB
    Update tokenizer_78b3253a26.model over 6 years ago
  • tokenizer_config.json
    263 Bytes
    feat: update on tokenizer_config over 1 year ago
  • vocab.txt
    77.8 kB
    Update vocab.txt over 6 years ago