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LinkinShan
/
hanja-wsd-base

Text Classification
Transformers
Safetensors
Korean
xlm-roberta
feature-extraction
korean
hanja
hangul
mixed-script
word-sense-disambiguation
cross-encoder
preview
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use LinkinShan/hanja-wsd-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LinkinShan/hanja-wsd-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LinkinShan/hanja-wsd-base")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("LinkinShan/hanja-wsd-base")
    model = AutoModel.from_pretrained("LinkinShan/hanja-wsd-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hanja-wsd-base / data
229 MB
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  • 1 contributor
History: 1 commit
LinkinShan's picture
LinkinShan
Add files using upload-large-folder tool
2664e66 verified 29 days ago
  • candidates_kaikki.chars.tsv
    65.2 kB
    Add files using upload-large-folder tool 29 days ago
  • chars_suminb.tsv
    220 kB
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  • chars_unihan.tsv
    69.8 kB
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  • hangul_counts.tsv
    104 MB
    xet
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  • hanja_counts.tsv
    30.8 MB
    xet
    Add files using upload-large-folder tool 29 days ago
  • lexicon.tsv
    93.4 MB
    xet
    Add files using upload-large-folder tool 29 days ago