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Humor-Research
/
humor-detection-comb-23

Text Classification
Transformers
PyTorch
English
roberta
humor-detection
humor-classification
joke-detection
humor-vs-non-humor
binary-classification
english
nlp
computational-humor
Model card Files Files and versions
xet
Community
2

Instructions to use Humor-Research/humor-detection-comb-23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Humor-Research/humor-detection-comb-23 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Humor-Research/humor-detection-comb-23")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Humor-Research/humor-detection-comb-23")
    model = AutoModelForSequenceClassification.from_pretrained("Humor-Research/humor-detection-comb-23", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
humor-detection-comb-23
1.5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
alexanderbaranof's picture
alexanderbaranof
Create README.md
eceedf2 verified 4 months ago
  • .gitattributes
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  • README.md
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  • config.json
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  • optimizer.pt
    997 MB
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  • pytorch_model.bin
    499 MB
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  • rng_state.pth
    14.6 kB
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  • scaler.pt
    557 Bytes
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  • scheduler.pt
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  • trainer_state.json
    12.2 kB
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  • training_args.bin
    3.58 kB
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