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sungjun83
/
KcElectra_Fine_Tuned_multi_small

Text Classification
Transformers
PyTorch
electra
Model card Files Files and versions
xet
Community
1

Instructions to use sungjun83/KcElectra_Fine_Tuned_multi_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sungjun83/KcElectra_Fine_Tuned_multi_small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sungjun83/KcElectra_Fine_Tuned_multi_small")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sungjun83/KcElectra_Fine_Tuned_multi_small")
    model = AutoModelForSequenceClassification.from_pretrained("sungjun83/KcElectra_Fine_Tuned_multi_small")
  • Notebooks
  • Google Colab
  • Kaggle
KcElectra_Fine_Tuned_multi_small
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
sungjun83's picture
sungjun83
Upload tokenizer
74b85ae about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.24 kB
    Upload ElectraForSequenceClassification about 3 years ago
  • pytorch_model.bin
    436 MB
    xet
    Upload ElectraForSequenceClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    1.78 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    377 Bytes
    Upload tokenizer about 3 years ago