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beomi
/
korean-hatespeech-classifier

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

Instructions to use beomi/korean-hatespeech-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use beomi/korean-hatespeech-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="beomi/korean-hatespeech-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("beomi/korean-hatespeech-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("beomi/korean-hatespeech-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
korean-hatespeech-classifier
499 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
beomi's picture
beomi
Add Human readable label
83a4b01 almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • config.json
    976 Bytes
    Add Human readable label almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    498 MB
    xet
    add model almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer almost 5 years ago
  • tokenizer.json
    788 kB
    add tokenizer almost 5 years ago
  • tokenizer_config.json
    538 Bytes
    add tokenizer almost 5 years ago
  • vocab.txt
    396 kB
    add tokenizer almost 5 years ago