Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Neural-Hacker
/
distilbert_ai_text_detector

Text Classification
Transformers
Safetensors
English
distilbert
bert
text
classification
ai
Model card Files Files and versions
xet
Community
1

Instructions to use Neural-Hacker/distilbert_ai_text_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Neural-Hacker/distilbert_ai_text_detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Neural-Hacker/distilbert_ai_text_detector")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Neural-Hacker/distilbert_ai_text_detector")
    model = AutoModelForSequenceClassification.from_pretrained("Neural-Hacker/distilbert_ai_text_detector")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert_ai_text_detector
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
Neural-Hacker's picture
Neural-Hacker
Update README.md
c407dbc verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    1.32 kB
    Update README.md 3 months ago
  • config.json
    520 Bytes
    Upload 6 files 9 months ago
  • model.safetensors
    268 MB
    xet
    Upload 6 files 9 months ago
  • special_tokens_map.json
    125 Bytes
    Upload 6 files 9 months ago
  • tokenizer_config.json
    1.28 kB
    Upload 6 files 9 months ago
  • vocab.txt
    232 kB
    Upload 6 files 9 months ago