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msperlin
/
finbert-ai-detector

Text Classification
Transformers
Safetensors
English
bert
finance
ai-detector
sequence-classification
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use msperlin/finbert-ai-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use msperlin/finbert-ai-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="msperlin/finbert-ai-detector")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("msperlin/finbert-ai-detector")
    model = AutoModelForSequenceClassification.from_pretrained("msperlin/finbert-ai-detector")
  • Notebooks
  • Google Colab
  • Kaggle
finbert-ai-detector
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
msperlin's picture
msperlin
Refactor code structure for improved readability and maintainability
49ded2a about 1 month ago
  • colab-notebooks
    improved readme about 1 month ago
  • figs
    Refactor code structure for improved readability and maintainability about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.4 kB
    Refactor code structure for improved readability and maintainability about 1 month ago
  • config.json
    739 Bytes
    first commit about 1 month ago
  • model.safetensors
    439 MB
    xet
    first commit about 1 month ago
  • tokenizer.json
    712 kB
    first commit about 1 month ago
  • tokenizer_config.json
    351 Bytes
    first commit about 1 month ago