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MonoHime
/
rubert_conversational_cased_sentiment

Text Classification
Transformers
PyTorch
Russian
bert
sentiment
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use MonoHime/rubert_conversational_cased_sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MonoHime/rubert_conversational_cased_sentiment")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MonoHime/rubert_conversational_cased_sentiment", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
rubert_conversational_cased_sentiment
740 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
MonoHime's picture
MonoHime
Update README.md
95945f1 about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    944 Bytes
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  • classes.dict
    24 Bytes
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  • config.json
    545 Bytes
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  • custom_config.json
    3.08 kB
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  • model.h5
    24.3 MB
    xet
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  • model_opt.json
    803 Bytes
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  • pytorch_model.bin
    714 MB
    xet
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  • vocab.txt
    1.4 MB
    Add model about 5 years ago