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MANMEET75
/
IntentClassification-distilbert-base-uncased

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use MANMEET75/IntentClassification-distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MANMEET75/IntentClassification-distilbert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MANMEET75/IntentClassification-distilbert-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MANMEET75/IntentClassification-distilbert-base-uncased")
    model = AutoModelForSequenceClassification.from_pretrained("MANMEET75/IntentClassification-distilbert-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
IntentClassification-distilbert-base-uncased / runs
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  • 1 contributor
History: 2 commits
MANMEET75's picture
MANMEET75
End of training
227f92c verified over 1 year ago
  • Nov15_18-32-02_5214fb714c19
    End of training over 1 year ago