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monologg
/
distilkobert

Fill-Mask
Transformers
PyTorch
Safetensors
Korean
distilbert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use monologg/distilkobert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="monologg/distilkobert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("monologg/distilkobert")
    model = AutoModelForMaskedLM.from_pretrained("monologg/distilkobert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilkobert
228 MB
Ctrl+K
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  • 2 contributors
History: 18 commits
monologg's picture
monologg
feat: trust_remote_code enabled
4a1fd77 almost 2 years ago
  • .gitattributes
    399 Bytes
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    479 Bytes
    feat: trust_remote_code enabled almost 2 years ago
  • config.json
    441 Bytes
    Update config.json over 6 years ago
  • model.safetensors
    114 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    114 MB
    xet
    Update pytorch_model.bin over 6 years ago
  • tokenization_kobert.py
    10.9 kB
    feat: trust_remote_code enabled almost 2 years ago
  • tokenizer_78b3253a26.model
    371 kB
    Update tokenizer_78b3253a26.model over 6 years ago
  • tokenizer_config.json
    263 Bytes
    feat: trust_remote_code enabled almost 2 years ago
  • vocab.txt
    77.8 kB
    Update vocab.txt over 6 years ago