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ArunAIML
/
bert-model-intent-classification

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

Instructions to use ArunAIML/bert-model-intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ArunAIML/bert-model-intent-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ArunAIML/bert-model-intent-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ArunAIML/bert-model-intent-classification")
    model = AutoModelForSequenceClassification.from_pretrained("ArunAIML/bert-model-intent-classification")
  • Notebooks
  • Google Colab
  • Kaggle
bert-model-intent-classification / sample_data
56.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ArunAIML's picture
ArunAIML
End of training
4f1cf3a verified about 1 year ago
  • README.md
    962 Bytes
    End of training about 1 year ago
  • anscombe.json
    1.7 kB
    End of training about 1 year ago
  • california_housing_test.csv
    301 kB
    End of training about 1 year ago
  • california_housing_train.csv
    1.71 MB
    End of training about 1 year ago
  • mnist_test.csv
    18.3 MB
    xet
    End of training about 1 year ago
  • mnist_train_small.csv
    36.5 MB
    xet
    End of training about 1 year ago