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Mathildeholst
/
classifier-clinc-MBbase-distilled

Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Mathildeholst/classifier-clinc-MBbase-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mathildeholst/classifier-clinc-MBbase-distilled with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Mathildeholst/classifier-clinc-MBbase-distilled")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Mathildeholst/classifier-clinc-MBbase-distilled")
    model = AutoModelForSequenceClassification.from_pretrained("Mathildeholst/classifier-clinc-MBbase-distilled")
  • Notebooks
  • Google Colab
  • Kaggle
classifier-clinc-MBbase-distilled / run-2
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  • 1 contributor
History: 9 commits
Mathildeholst's picture
Mathildeholst
Training in progress, epoch 4
be23425 verified 7 months ago
  • checkpoint-1000
    Training in progress, step 1000 7 months ago
  • checkpoint-1252
    Training in progress, epoch 4 7 months ago
  • checkpoint-1431
    Training in progress, step 500 7 months ago
  • checkpoint-313
    Training in progress, epoch 4 7 months ago
  • checkpoint-500
    Training in progress, step 500 7 months ago
  • checkpoint-626
    Training in progress, epoch 4 7 months ago
  • checkpoint-939
    Training in progress, epoch 4 7 months ago