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RunsOnBacon
/
distilbert-intent-prompt-classifier

Text Classification
Transformers
Safetensors
distilbert
Model card Files Files and versions
xet
Community

Instructions to use RunsOnBacon/distilbert-intent-prompt-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RunsOnBacon/distilbert-intent-prompt-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="RunsOnBacon/distilbert-intent-prompt-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("RunsOnBacon/distilbert-intent-prompt-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("RunsOnBacon/distilbert-intent-prompt-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-intent-prompt-classifier
268 MB
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  • 1 contributor
History: 3 commits
RunsOnBacon's picture
RunsOnBacon
Add tokenizer files
de170df verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.17 kB
    Fine-tuned DistilBERT for 6-class intent classification (LiterAIcy V5.13) about 1 month ago
  • config.json
    831 Bytes
    Fine-tuned DistilBERT for 6-class intent classification (LiterAIcy V5.13) about 1 month ago
  • model.safetensors
    268 MB
    xet
    Fine-tuned DistilBERT for 6-class intent classification (LiterAIcy V5.13) about 1 month ago
  • special_tokens_map.json
    695 Bytes
    Add tokenizer files about 1 month ago
  • tokenizer_config.json
    1.28 kB
    Add tokenizer files about 1 month ago
  • vocab.txt
    232 kB
    Add tokenizer files about 1 month ago