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textsightai
/
textsight-ai-detector-v9

Text Classification
Transformers
Safetensors
English
bert
ai-detection
machine-generated-text-detection
deprecated
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use textsightai/textsight-ai-detector-v9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use textsightai/textsight-ai-detector-v9 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="textsightai/textsight-ai-detector-v9")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("textsightai/textsight-ai-detector-v9")
    model = AutoModelForSequenceClassification.from_pretrained("textsightai/textsight-ai-detector-v9", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
textsight-ai-detector-v9
12.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
textsightai's picture
textsightai
Mark as superseded; point to v23 and the benchmark
7d2aab5 verified 29 days ago
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  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    1.09 kB
    Mark as superseded; point to v23 and the benchmark 29 days ago
  • config.json
    734 Bytes
    Upload folder using huggingface_hub 10 months ago
  • model.safetensors
    438 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.22 kB
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  • training_args.bin
    5.78 kB
    xet
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  • vocab.txt
    232 kB
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