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alimazhar-110
/
website_classification

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use alimazhar-110/website_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alimazhar-110/website_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="alimazhar-110/website_classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("alimazhar-110/website_classification")
    model = AutoModelForSequenceClassification.from_pretrained("alimazhar-110/website_classification")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
website_classification / runs
58.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 32 commits
Ali Mazhar Luqmani
End of training
d7e926c over 3 years ago
  • Feb02_15-43-05_22b072ae40ca
    End of training over 3 years ago
  • Feb03_06-52-12_efe35bf9c92f
    End of training over 3 years ago