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Hello-SimpleAI
/
chatgpt-detector-roberta

Text Classification
Transformers
PyTorch
English
roberta
chatgpt
text-embeddings-inference
Model card Files Files and versions
xet
Community
5

Instructions to use Hello-SimpleAI/chatgpt-detector-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hello-SimpleAI/chatgpt-detector-roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Hello-SimpleAI/chatgpt-detector-roberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Hello-SimpleAI/chatgpt-detector-roberta")
    model = AutoModelForSequenceClassification.from_pretrained("Hello-SimpleAI/chatgpt-detector-roberta", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Production Implementation: Veridraft AI Detector Pro (Hybrid Context + Burstiness Calibration)

#5 opened 5 days ago by
truecopythereal

Correct mispelling

#3 opened about 3 years ago by
Bhood23

Adding `safetensors` variant of this model

#2 opened over 3 years ago by
SFconvertbot

add-jax-weights

2
#1 opened over 3 years ago by
jacobthebanana
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