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gokuls
/
BERT-tiny-sst2

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/BERT-tiny-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gokuls/BERT-tiny-sst2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gokuls/BERT-tiny-sst2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("gokuls/BERT-tiny-sst2")
    model = AutoModelForSequenceClassification.from_pretrained("gokuls/BERT-tiny-sst2")
  • Notebooks
  • Google Colab
  • Kaggle
BERT-tiny-sst2 / logs
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  • 1 contributor
History: 11 commits
gokuls's picture
gokuls
End of training
33bed21 over 3 years ago
  • 1664037373.7179654
    Training in progress, epoch 1 over 3 years ago
  • 1664038010.924836
    Training in progress, epoch 1 over 3 years ago
  • events.out.tfevents.1664037373.88f748532117.69.0
    6.51 kB
    xet
    Training in progress, epoch 1 over 3 years ago
  • events.out.tfevents.1664037896.88f748532117.69.2
    369 Bytes
    xet
    Training in progress, epoch 1 over 3 years ago
  • events.out.tfevents.1664038010.88f748532117.1345.0
    6.51 kB
    xet
    End of training over 3 years ago
  • events.out.tfevents.1664038478.88f748532117.1345.2
    698 Bytes
    xet
    End of training over 3 years ago