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edloginovad
/
tinybert

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

Instructions to use edloginovad/tinybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use edloginovad/tinybert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="edloginovad/tinybert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("edloginovad/tinybert")
    model = AutoModelForSequenceClassification.from_pretrained("edloginovad/tinybert")
  • Notebooks
  • Google Colab
  • Kaggle
tinybert / training_artifacts
314 kB
Ctrl+K
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  • 1 contributor
History: 13 commits
edloginovad's picture
edloginovad
Model save
b66c271 verified 7 months ago
  • training_history.csv
    1.13 kB
    Model save 7 months ago
  • training_history.json
    2.98 kB
    Model save 7 months ago
  • training_loss.png
    189 kB
    xet
    Model save 7 months ago
  • training_metrics.png
    121 kB
    xet
    Model save 7 months ago
  • training_summary.json
    170 Bytes
    Model save 7 months ago