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almanach
/
camemberta-chatgptdetect-noisy

Text Classification
Transformers
PyTorch
Safetensors
French
deberta-v2
lm-detection
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use almanach/camemberta-chatgptdetect-noisy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use almanach/camemberta-chatgptdetect-noisy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="almanach/camemberta-chatgptdetect-noisy")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("almanach/camemberta-chatgptdetect-noisy")
    model = AutoModelForSequenceClassification.from_pretrained("almanach/camemberta-chatgptdetect-noisy")
  • Notebooks
  • Google Colab
  • Kaggle
camemberta-chatgptdetect-noisy
903 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 8 commits
wissamantoun's picture
wissamantoun
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model (#2)
0978fca over 2 years ago
  • .gitattributes
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    added files about 3 years ago
  • README.md
    2.8 kB
    Librarian Bot: Add base_model information to model (#2) over 2 years ago
  • added_tokens.json
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  • all_results.json
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  • config.json
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  • eval_results.json
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  • model.safetensors
    450 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • predict_results_full_fr_1.0_0.5_0.5.txt
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  • pytorch_model.bin
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  • special_tokens_map.json
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  • spm.model
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  • tokenizer.json
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  • tokenizer_config.json
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  • train_results.json
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  • trainer_state.json
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  • training_args.bin
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