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joseph10
/
tiny-bert-sst2-distilled

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

Instructions to use joseph10/tiny-bert-sst2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use joseph10/tiny-bert-sst2-distilled with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="joseph10/tiny-bert-sst2-distilled")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("joseph10/tiny-bert-sst2-distilled")
    model = AutoModelForSequenceClassification.from_pretrained("joseph10/tiny-bert-sst2-distilled")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-bert-sst2-distilled / run-3
429 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
joseph10's picture
joseph10
Training in progress, epoch 3
79e1d4c over 2 years ago
  • checkpoint-1054
    Training in progress, epoch 2 over 2 years ago
  • checkpoint-1581
    Training in progress, epoch 3 over 2 years ago
  • checkpoint-1915
    Training in progress, epoch 1 over 2 years ago
  • checkpoint-2108
    Training in progress, epoch 4 over 2 years ago
  • checkpoint-2635
    Training in progress, epoch 1 over 2 years ago
  • checkpoint-3830
    Training in progress, epoch 2 over 2 years ago
  • checkpoint-527
    Training in progress, epoch 1 over 2 years ago
  • checkpoint-5745
    Training in progress, epoch 3 over 2 years ago