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r-moret
/
albert-humor-classification

Text Classification
Transformers
google-tensorflow TensorFlow
albert
generated_from_keras_callback
Model card Files Files and versions
xet
Community
1

Instructions to use r-moret/albert-humor-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use r-moret/albert-humor-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="r-moret/albert-humor-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("r-moret/albert-humor-classification")
    model = AutoModelForSequenceClassification.from_pretrained("r-moret/albert-humor-classification")
  • Notebooks
  • Google Colab
  • Kaggle
albert-humor-classification
47.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
r-moret's picture
r-moret
Upload metrics.json with huggingface_hub
59f5b4e over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • README.md
    1.07 kB
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  • config.json
    812 Bytes
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  • metrics.json
    55 Bytes
    Upload metrics.json with huggingface_hub over 3 years ago
  • special_tokens_map.json
    286 Bytes
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  • spiece.model
    760 kB
    xet
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  • tf_model.h5
    46.8 MB
    xet
    Upload TFAlbertForSequenceClassification over 3 years ago
  • tokenizer_config.json
    551 Bytes
    Upload tokenizer over 3 years ago