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MaVier19
/
zero-shot_text_classification

Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use MaVier19/zero-shot_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MaVier19/zero-shot_text_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MaVier19/zero-shot_text_classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MaVier19/zero-shot_text_classification")
    model = AutoModelForSequenceClassification.from_pretrained("MaVier19/zero-shot_text_classification", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
zero-shot_text_classification / runs
38 kB
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  • 1 contributor
History: 8 commits
MaVier19's picture
MaVier19
End of training
8dbb8d2 over 2 years ago
  • Dec20_12-01-22_8a2d54eec0e3
    End of training over 2 years ago
  • Dec20_12-39-35_b694cfb1542f
    End of training over 2 years ago
  • Dec20_12-50-27_b694cfb1542f
    End of training over 2 years ago
  • Dec20_13-32-07_8a2d54eec0e3
    End of training over 2 years ago
  • Dec20_15-48-45_25528190d6e7
    End of training over 2 years ago
  • Dec20_18-01-59_f62185164f9b
    Training in progress, epoch 1 over 2 years ago
  • Dec20_20-17-28_41a4a5fa0a22
    End of training over 2 years ago