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andersab
/
tweet_model_sentiment_andersab

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use andersab/tweet_model_sentiment_andersab with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="andersab/tweet_model_sentiment_andersab")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("andersab/tweet_model_sentiment_andersab")
    model = AutoModelForSequenceClassification.from_pretrained("andersab/tweet_model_sentiment_andersab")
  • Notebooks
  • Google Colab
  • Kaggle
tweet_model_sentiment_andersab / runs
57.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
andersab's picture
andersab
End of training
fda2d8f over 3 years ago
  • Nov11_19-08-58_7d63fe580273
    Training in progress, epoch 1 over 3 years ago
  • Nov11_19-15-00_7d63fe580273
    Training in progress, epoch 1 over 3 years ago
  • Nov11_19-17-10_7d63fe580273
    Training in progress, epoch 1 over 3 years ago
  • Nov11_19-22-48_7d63fe580273
    End of training over 3 years ago