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poom-sci
/
bert-base-uncased-multi-emotion

Translation
Transformers
PyTorch
TensorBoard
English
bert
text-classification
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use poom-sci/bert-base-uncased-multi-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use poom-sci/bert-base-uncased-multi-emotion with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "translation" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("translation", model="poom-sci/bert-base-uncased-multi-emotion")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("poom-sci/bert-base-uncased-multi-emotion")
    model = AutoModelForSequenceClassification.from_pretrained("poom-sci/bert-base-uncased-multi-emotion")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-multi-emotion / logs
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  • 1 contributor
History: 1 commit
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poom-sci
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