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reichenbach
/
amazon_topical_chat_sentiment

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

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

  • Libraries
  • Transformers

    How to use reichenbach/amazon_topical_chat_sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="reichenbach/amazon_topical_chat_sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("reichenbach/amazon_topical_chat_sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("reichenbach/amazon_topical_chat_sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
amazon_topical_chat_sentiment / runs
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  • 1 contributor
History: 11 commits
reichenbach's picture
reichenbach
End of training
6e3d2b1 over 2 years ago
  • Nov28_06-18-25_88217fac21a6
    Training in progress, epoch 2 over 2 years ago
  • Nov28_06-20-17_88217fac21a6
    Training in progress, epoch 2 over 2 years ago
  • Nov28_06-50-34_8065d8a0864c
    End of training over 2 years ago
  • Nov28_07-14-05_bca7ae891357
    Training in progress, epoch 11 over 2 years ago