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blockenters
/
sms-spam-classifier

Text Classification
Transformers
Safetensors
Korean
bert
spam-detection
sms
multilingual
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use blockenters/sms-spam-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use blockenters/sms-spam-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="blockenters/sms-spam-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("blockenters/sms-spam-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("blockenters/sms-spam-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
sms-spam-classifier
715 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
blockenters's picture
blockenters
Update README.md
b588a12 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.51 kB
    Update README.md over 1 year ago
  • config.json
    895 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    711 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    2.92 MB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.22 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    996 kB
    Upload tokenizer over 1 year ago