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Arielkanevsky
/
Complaints_Classifier

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

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

  • Libraries
  • Transformers

    How to use Arielkanevsky/Complaints_Classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Arielkanevsky/Complaints_Classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Arielkanevsky/Complaints_Classifier")
    model = AutoModelForSequenceClassification.from_pretrained("Arielkanevsky/Complaints_Classifier")
  • Notebooks
  • Google Colab
  • Kaggle
Complaints_Classifier / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Arielkanevsky's picture
Arielkanevsky
End of training
1c2f946 about 3 years ago
  • Jun02_00-51-34_9b3080fc0d16
    Training in progress, epoch 1 about 3 years ago
  • Jun02_00-53-22_9b3080fc0d16
    Training in progress, epoch 1 about 3 years ago
  • Jun02_00-55-56_9b3080fc0d16
    End of training about 3 years ago
  • Jun27_02-00-45_df9215bbc6e6
    End of training about 3 years ago