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Sharpaxis
/
News_classification_distilbert

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 Sharpaxis/News_classification_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sharpaxis/News_classification_distilbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Sharpaxis/News_classification_distilbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Sharpaxis/News_classification_distilbert")
    model = AutoModelForSequenceClassification.from_pretrained("Sharpaxis/News_classification_distilbert")
  • Notebooks
  • Google Colab
  • Kaggle
News_classification_distilbert / runs
14.1 kB
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  • 1 contributor
History: 2 commits
Sharpaxis's picture
Sharpaxis
DONE
710f97f verified over 1 year ago
  • Dec06_17-34-06_b8e3dcb04ed1
    DONE over 1 year ago
  • Dec06_18-24-17_b8e3dcb04ed1
    DONE over 1 year ago