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niru-nny
/
SMS_Spam_Detection

Text Classification
Transformers
Safetensors
English
bert
spam-detection
sms
Model card Files Files and versions
xet
Community

Instructions to use niru-nny/SMS_Spam_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use niru-nny/SMS_Spam_Detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="niru-nny/SMS_Spam_Detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("niru-nny/SMS_Spam_Detection")
    model = AutoModelForSequenceClassification.from_pretrained("niru-nny/SMS_Spam_Detection")
  • Notebooks
  • Google Colab
  • Kaggle
SMS_Spam_Detection
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
niru-nny's picture
niru-nny
Upload requirements.txt with huggingface_hub
5b735d8 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    4.5 kB
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  • app.py
    3.45 kB
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  • config.json
    707 Bytes
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  • model.safetensors
    438 MB
    xet
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  • requirements.txt
    51 Bytes
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  • special_tokens_map.json
    132 Bytes
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  • tokenizer_config.json
    1.33 kB
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  • vocab.txt
    262 kB
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