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LogischeIP
/
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

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

  • Libraries
  • Transformers

    How to use LogischeIP/zero-shot_text_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LogischeIP/zero-shot_text_classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LogischeIP/zero-shot_text_classification")
    model = AutoModelForSequenceClassification.from_pretrained("LogischeIP/zero-shot_text_classification")
  • Notebooks
  • Google Colab
  • Kaggle
zero-shot_text_classification / runs
10.6 kB
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  • 1 contributor
History: 1 commit
LogischeIP's picture
LogischeIP
Training in progress, epoch 0
bf3dec6 over 2 years ago
  • Dec20_18-01-41_f9c63656ad7a
    Training in progress, epoch 0 over 2 years ago
  • Dec20_18-02-38_f9c63656ad7a
    Training in progress, epoch 0 over 2 years ago