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Hwijung
/
distilbert-base-uncased-finetuned-clinc

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 Hwijung/distilbert-base-uncased-finetuned-clinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hwijung/distilbert-base-uncased-finetuned-clinc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Hwijung/distilbert-base-uncased-finetuned-clinc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Hwijung/distilbert-base-uncased-finetuned-clinc")
    model = AutoModelForSequenceClassification.from_pretrained("Hwijung/distilbert-base-uncased-finetuned-clinc")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-uncased-finetuned-clinc / runs
Ctrl+K
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  • 1 contributor
History: 3 commits

This model has 1 file scanned as unsafe.

Hwijung's picture
Hwijung
Training Completed!
1aaf97e over 3 years ago
  • Feb01_15-18-04_GPU-PC
    Training Completed! over 3 years ago
  • Feb01_15-31-26_GPU-PC
    Training Completed! over 3 years ago
  • Feb01_15-44-35_GPU-PC
    Training Completed! over 3 years ago
  • Feb01_15-58-59_GPU-PC
    Training Completed! over 3 years ago
  • Feb01_16-20-05_GPU-PC
    Training Completed! over 3 years ago
  • Feb01_16-31-37_GPU-PC
    Training Completed! over 3 years ago