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RayenLLM
/
bert-practice-classifier

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 RayenLLM/bert-practice-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RayenLLM/bert-practice-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="RayenLLM/bert-practice-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("RayenLLM/bert-practice-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("RayenLLM/bert-practice-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
bert-practice-classifier / runs /Mar13_01-15-53_78834890537e
11.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
RayenLLM's picture
RayenLLM
End of training
5aaef65 verified over 1 year ago
  • events.out.tfevents.1741828563.78834890537e.1616.0
    11.7 kB
    xet
    End of training over 1 year ago