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MonoHime
/
mosei-emo-intermodal

Feature Extraction
Transformers
English
bert
sentiment
multiclass
emotion
multimodal
Model card Files Files and versions
xet
Community

Instructions to use MonoHime/mosei-emo-intermodal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MonoHime/mosei-emo-intermodal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="MonoHime/mosei-emo-intermodal")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("MonoHime/mosei-emo-intermodal")
    model = AutoModel.from_pretrained("MonoHime/mosei-emo-intermodal")
  • Notebooks
  • Google Colab
  • Kaggle
mosei-emo-intermodal
444 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits

This model has 1 file scanned as suspicious.

MonoHime's picture
MonoHime
Update README.md
6bb3c82 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    268 Bytes
    Update README.md almost 3 years ago
  • config.json
    720 Bytes
    Init model almost 3 years ago
  • mosei_emo_model.pth
    444 MB
    xet
    Init model almost 3 years ago