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gokuls
/
tiny-bert-sst2-distilled-model

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gokuls/tiny-bert-sst2-distilled-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("gokuls/tiny-bert-sst2-distilled-model")
    model = AutoModelForSequenceClassification.from_pretrained("gokuls/tiny-bert-sst2-distilled-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-bert-sst2-distilled-model / logs
31.3 kB
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  • 1 contributor
History: 9 commits
gokuls's picture
gokuls
End of training
d403d36 about 4 years ago
  • 1654466854.7856092
    Training in progress, epoch 1 about 4 years ago
  • 1654468398.1702733
    Training in progress, epoch 1 about 4 years ago
  • 1654468435.9723525
    Training in progress, epoch 1 about 4 years ago
  • events.out.tfevents.1654466854.LAPTOP-1LFUVIHV.23700.0
    7.78 kB
    xet
    Training in progress, epoch 1 about 4 years ago
  • events.out.tfevents.1654468435.LAPTOP-1LFUVIHV.23700.3
    7.49 kB
    xet
    End of training about 4 years ago
  • events.out.tfevents.1654478897.LAPTOP-1LFUVIHV.23700.5
    369 Bytes
    xet
    End of training about 4 years ago