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mr-checker
/
fin-customer-support-intent-distilbert

Text Classification
Transformers
Safetensors
English
distilbert
finance
customer_support
intent
intent_detection
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mr-checker/fin-customer-support-intent-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mr-checker/fin-customer-support-intent-distilbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mr-checker/fin-customer-support-intent-distilbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mr-checker/fin-customer-support-intent-distilbert")
    model = AutoModelForSequenceClassification.from_pretrained("mr-checker/fin-customer-support-intent-distilbert")
  • Notebooks
  • Google Colab
  • Kaggle
fin-customer-support-intent-distilbert
269 MB
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  • 1 contributor
History: 7 commits
mr-checker's picture
mr-checker
Update README.md
65b0ec3 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    2.42 kB
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  • config.json
    6.02 kB
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  • label_mapping.json
    2.72 kB
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  • model.safetensors
    268 MB
    xet
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    342 Bytes
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