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saadMouraf
/
bert-based-emotion-detection-ar

Text Classification
Transformers
Arabic
emotion
BERT
Model card Files Files and versions
xet
Community

Instructions to use saadMouraf/bert-based-emotion-detection-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use saadMouraf/bert-based-emotion-detection-ar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="saadMouraf/bert-based-emotion-detection-ar")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("saadMouraf/bert-based-emotion-detection-ar", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-based-emotion-detection-ar
4.44 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
saadMouraf's picture
saadMouraf
Update README.md
d26585d almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    750 Bytes
    Update README.md almost 3 years ago
  • config.json
    344 Bytes
    Create config.json almost 3 years ago
  • emotion_model.h5
    4.44 GB
    xet
    Upload emotion_model.h5 almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    1.77 MB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    463 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    751 kB
    Upload tokenizer almost 3 years ago