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penscola
/
tweet_sentiments_analysis_bert

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use penscola/tweet_sentiments_analysis_bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="penscola/tweet_sentiments_analysis_bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("penscola/tweet_sentiments_analysis_bert")
    model = AutoModelForSequenceClassification.from_pretrained("penscola/tweet_sentiments_analysis_bert")
  • Notebooks
  • Google Colab
  • Kaggle
tweet_sentiments_analysis_bert / runs
8.18 kB
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  • 1 contributor
History: 6 commits
penscola's picture
penscola
End of training
adc9674 almost 3 years ago
  • Jul23_06-45-46_30fb4c0892ab
    End of training almost 3 years ago