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LBerthalon
/
eurobert-commit-humor

Text Classification
Transformers
Safetensors
eurobert
commit-messages
humor-detection
lora
git
optuna-optimized
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use LBerthalon/eurobert-commit-humor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LBerthalon/eurobert-commit-humor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LBerthalon/eurobert-commit-humor", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LBerthalon/eurobert-commit-humor", trust_remote_code=True)
    model = AutoModelForSequenceClassification.from_pretrained("LBerthalon/eurobert-commit-humor", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
eurobert-commit-humor
867 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
LBerthalon's picture
LBerthalon
🚀 Upload du modèle optimisé avec Optuna (85.3% accuracy globale, 82.9% funny accuracy)
02bdefc verified 10 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    3.43 kB
    🚀 Upload du modèle optimisé avec Optuna (85.3% accuracy globale, 82.9% funny accuracy) 10 months ago
  • config.json
    1.45 kB
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  • configuration_eurobert.py
    12.1 kB
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  • model.safetensors
    849 MB
    xet
    🚀 Upload du modèle optimisé avec Optuna (85.3% accuracy globale, 82.9% funny accuracy) 10 months ago
  • modeling_eurobert.py
    43.2 kB
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  • special_tokens_map.json
    612 Bytes
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  • threshold.json
    31 Bytes
    🚀 Upload du modèle optimisé avec Optuna (85.3% accuracy globale, 82.9% funny accuracy) 10 months ago
  • tokenizer.json
    17.2 MB
    xet
    Upload folder using huggingface_hub 10 months ago
  • tokenizer_config.json
    52.7 kB
    🚀 Upload du modèle optimisé avec Optuna (85.3% accuracy globale, 82.9% funny accuracy) 10 months ago