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Unggi
/
hate_speech_bert

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Unggi/hate_speech_bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Unggi/hate_speech_bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Unggi/hate_speech_bert")
    model = AutoModelForSequenceClassification.from_pretrained("Unggi/hate_speech_bert")
  • Notebooks
  • Google Colab
  • Kaggle
hate_speech_bert
369 MB
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  • 1 contributor
History: 11 commits
Unggi's picture
Unggi
Upload tokenizer
66de623 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    26 Bytes
    initial commit about 3 years ago
  • config.json
    1.11 kB
    Upload BertForSequenceClassification about 3 years ago
  • pytorch_model.bin
    369 MB
    xet
    Upload BertForSequenceClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    181 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    513 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    60.9 kB
    Upload tokenizer about 3 years ago