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Kaaeun
/
Labeling

Text Classification
Transformers
Safetensors
Korean
electra
korean
multi-label-classification
kcelectra
fine-tuned
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Kaaeun/Labeling with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Kaaeun/Labeling")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Kaaeun/Labeling")
    model = AutoModelForSequenceClassification.from_pretrained("Kaaeun/Labeling")
  • Notebooks
  • Google Colab
  • Kaggle
Labeling
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Kaaeun's picture
Kaaeun
Update README.md
4567aa1 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    1.6 kB
    Update README.md 8 months ago
  • config.json
    1.12 kB
    Upload 6 files 8 months ago
  • model.safetensors
    436 MB
    xet
    Upload 6 files 8 months ago
  • special_tokens_map.json
    695 Bytes
    Upload 6 files 8 months ago
  • tokenizer.json
    2.64 MB
    Upload 6 files 8 months ago
  • tokenizer_config.json
    1.25 kB
    Upload 6 files 8 months ago
  • training_meta.json
    531 Bytes
    Upload 6 files 8 months ago