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mrm8488
/
bert-tiny-finetuned-fake-news-detection

Text Classification
Transformers
PyTorch
TensorBoard
English
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use mrm8488/bert-tiny-finetuned-fake-news-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mrm8488/bert-tiny-finetuned-fake-news-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mrm8488/bert-tiny-finetuned-fake-news-detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-tiny-finetuned-fake-news-detection")
    model = AutoModelForSequenceClassification.from_pretrained("mrm8488/bert-tiny-finetuned-fake-news-detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • BERT Tiny fine-tuned for fake news detection

BERT Tiny fine-tuned for fake news detection

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