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devngho
/
ko_edu_classifier_v2_LaBSE

Text Classification
Transformers
JAX
Safetensors
Korean
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use devngho/ko_edu_classifier_v2_LaBSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use devngho/ko_edu_classifier_v2_LaBSE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="devngho/ko_edu_classifier_v2_LaBSE")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("devngho/ko_edu_classifier_v2_LaBSE")
    model = AutoModelForSequenceClassification.from_pretrained("devngho/ko_edu_classifier_v2_LaBSE", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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  • config.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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