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VitalContribution
/
JokeDetectBERT

Text Classification
Transformers
Safetensors
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use VitalContribution/JokeDetectBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VitalContribution/JokeDetectBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="VitalContribution/JokeDetectBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("VitalContribution/JokeDetectBERT")
    model = AutoModelForSequenceClassification.from_pretrained("VitalContribution/JokeDetectBERT")
  • Notebooks
  • Google Colab
  • Kaggle
JokeDetectBERT
269 MB
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  • 1 contributor
History: 6 commits
VitalContribution's picture
VitalContribution
Update README.md
154203b verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.85 kB
    Update README.md almost 2 years ago
  • config.json
    615 Bytes
    Upload DistilBertForSequenceClassification almost 2 years ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.2 kB
    Upload tokenizer almost 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer almost 2 years ago