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kykim
/
funnel-kor-base

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
Korean
funnel
Model card Files Files and versions
xet
Community
1

Instructions to use kykim/funnel-kor-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kykim/funnel-kor-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="kykim/funnel-kor-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("kykim/funnel-kor-base")
    model = AutoModel.from_pretrained("kykim/funnel-kor-base")
  • Notebooks
  • Google Colab
  • Kaggle
funnel-kor-base
1.49 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
kykim's picture
kykim
json format fix in tokenizer_config.json
6bc460f over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • README.md
    450 Bytes
    Create README.md over 5 years ago
  • config.json
    725 Bytes
    model upload over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    744 MB
    xet
    model upload over 5 years ago
  • special_tokens_map.json
    153 Bytes
    modify tokenizer config over 5 years ago
  • tf_model.h5
    744 MB
    xet
    model upload over 5 years ago
  • tokenizer_config.json
    363 Bytes
    json format fix in tokenizer_config.json over 5 years ago
  • vocab.txt
    344 kB
    model upload over 5 years ago