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Sarthak279
/
Intent

Text Classification
Transformers
google-tensorflow TensorFlow
deberta
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use Sarthak279/Intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sarthak279/Intent with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Sarthak279/Intent")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Sarthak279/Intent")
    model = AutoModelForSequenceClassification.from_pretrained("Sarthak279/Intent")
  • Notebooks
  • Google Colab
  • Kaggle
Intent
561 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
Sarthak279's picture
Sarthak279
Update README.md
c0c3e16 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.19 kB
    Update README.md over 2 years ago
  • config.json
    1.89 kB
    Upload TFDebertaForSequenceClassification over 2 years ago
  • merges.txt
    456 kB
    Upload tokenizer over 2 years ago
  • special_tokens_map.json
    969 Bytes
    Upload tokenizer over 2 years ago
  • tf_model.h5
    557 MB
    xet
    Upload TFDebertaForSequenceClassification over 2 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.28 kB
    Upload tokenizer over 2 years ago
  • vocab.json
    798 kB
    Upload tokenizer over 2 years ago