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AjayPlus
/
propaganda-detector-v2

Text Classification
Transformers
Safetensors
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use AjayPlus/propaganda-detector-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AjayPlus/propaganda-detector-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AjayPlus/propaganda-detector-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AjayPlus/propaganda-detector-v2")
    model = AutoModelForSequenceClassification.from_pretrained("AjayPlus/propaganda-detector-v2")
  • Notebooks
  • Google Colab
  • Kaggle
propaganda-detector-v2
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  • 1 contributor
History: 3 commits
AjayPlus's picture
AjayPlus
Upload tokenizer
6ce206f verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    5.17 kB
    Upload DistilBertForSequenceClassification 12 months ago
  • config.json
    919 Bytes
    Upload DistilBertForSequenceClassification 12 months ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification 12 months ago
  • special_tokens_map.json
    732 Bytes
    Upload tokenizer 12 months ago
  • tokenizer.json
    712 kB
    Upload tokenizer 12 months ago
  • tokenizer_config.json
    1.48 kB
    Upload tokenizer 12 months ago
  • vocab.txt
    232 kB
    Upload tokenizer 12 months ago