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KunalEsM
/
bank_complaint_intent_classifier

Text Classification
Transformers
Safetensors
English
distilbert
bank user complaint
intent-classifier
Model card Files Files and versions
xet
Community

Instructions to use KunalEsM/bank_complaint_intent_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KunalEsM/bank_complaint_intent_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="KunalEsM/bank_complaint_intent_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("KunalEsM/bank_complaint_intent_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("KunalEsM/bank_complaint_intent_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
bank_complaint_intent_classifier
268 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
KunalEsM's picture
KunalEsM
Update README.md
7aec9f3 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    4.69 kB
    Update README.md about 2 years ago
  • config.json
    1.12 kB
    Updated model commit about 2 years ago
  • model.safetensors
    268 MB
    xet
    Updated model commit about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Updated model commit about 2 years ago
  • tokenizer_config.json
    1.25 kB
    Updated model commit about 2 years ago
  • vocab.txt
    232 kB
    Updated model commit about 2 years ago