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IDA-SERICS
/
Persuasive_Prompt_Detection

Text Classification
Transformers
Safetensors
distilbert
Model card Files Files and versions
xet
Community

Instructions to use IDA-SERICS/Persuasive_Prompt_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IDA-SERICS/Persuasive_Prompt_Detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="IDA-SERICS/Persuasive_Prompt_Detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("IDA-SERICS/Persuasive_Prompt_Detection")
    model = AutoModelForSequenceClassification.from_pretrained("IDA-SERICS/Persuasive_Prompt_Detection")
  • Notebooks
  • Google Colab
  • Kaggle
Persuasive_Prompt_Detection
268 MB
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  • 1 contributor
History: 3 commits
cstnz's picture
cstnz
Update README.md
f9e25ed verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    120 Bytes
    Update README.md 10 months ago
  • config.json
    615 Bytes
    Upload 5 files about 2 years ago
  • model.safetensors
    268 MB
    xet
    Upload 5 files about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 5 files about 2 years ago
  • tokenizer_config.json
    1.25 kB
    Upload 5 files about 2 years ago
  • vocab.txt
    232 kB
    Upload 5 files about 2 years ago