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linxi
/
tiny-bert-sst2-distilled

Text Classification
Transformers
PyTorch
TensorBoard
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use linxi/tiny-bert-sst2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use linxi/tiny-bert-sst2-distilled with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="linxi/tiny-bert-sst2-distilled")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("linxi/tiny-bert-sst2-distilled")
    model = AutoModelForSequenceClassification.from_pretrained("linxi/tiny-bert-sst2-distilled")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-bert-sst2-distilled / logs
12.4 kB
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  • 1 contributor
History: 7 commits

This model has 1 file scanned as suspicious.

linxi's picture
linxi
Training in progress, epoch 7
443917c almost 4 years ago
  • 1657697665.1390257
    Training in progress, epoch 1 almost 4 years ago
  • events.out.tfevents.1657697665.0aece7c479a5.273.0
    7.03 kB
    xet
    Training in progress, epoch 7 almost 4 years ago