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moshew
/
bert-tiny-aug-sst2-distilled_v2

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

Instructions to use moshew/bert-tiny-aug-sst2-distilled_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use moshew/bert-tiny-aug-sst2-distilled_v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="moshew/bert-tiny-aug-sst2-distilled_v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("moshew/bert-tiny-aug-sst2-distilled_v2")
    model = AutoModelForSequenceClassification.from_pretrained("moshew/bert-tiny-aug-sst2-distilled_v2")
  • Notebooks
  • Google Colab
  • Kaggle
bert-tiny-aug-sst2-distilled_v2 / logs
17.3 kB
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  • 1 contributor
History: 2 commits

This model has 1 file scanned as suspicious.

moshew's picture
moshew
Training in progress, epoch 1
3e45157 about 4 years ago
  • 1645768314.63943
    Training in progress, epoch 1 about 4 years ago
  • 1646036408.8741136
    Training in progress, epoch 1 about 4 years ago
  • events.out.tfevents.1645768314.ad4554bb456f.98.0
    3.85 kB
    xet
    Training in progress, epoch 1 about 4 years ago
  • events.out.tfevents.1646036408.a348be839d16.97.0
    3.86 kB
    xet
    Training in progress, epoch 1 about 4 years ago