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gokuls
/
hBERTv2_mrpc

Text Classification
Transformers
PyTorch
TensorBoard
English
hybridbert
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use gokuls/hBERTv2_mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gokuls/hBERTv2_mrpc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gokuls/hBERTv2_mrpc")
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("gokuls/hBERTv2_mrpc", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hBERTv2_mrpc / logs
42.7 kB
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  • 1 contributor
History: 10 commits
gokuls's picture
gokuls
End of training
7de2b3b over 3 years ago
  • 1677660580.8561025
    Training in progress, epoch 1 over 3 years ago
  • 1677708769.5852597
    Training in progress, epoch 4 over 3 years ago
  • 1677737577.0136611
    Training in progress, epoch 1 over 3 years ago
  • events.out.tfevents.1677660580.kyoto.1072791.3
    8.68 kB
    xet
    Model save over 3 years ago
  • events.out.tfevents.1677661058.kyoto.1072791.5
    459 Bytes
    xet
    End of training over 3 years ago
  • events.out.tfevents.1677708769.serv-3317.3553245.3
    6.96 kB
    xet
    Model save over 3 years ago
  • events.out.tfevents.1677709066.serv-3317.3553245.5
    459 Bytes
    xet
    End of training over 3 years ago
  • events.out.tfevents.1677737577.serv-3317.65116.3
    8.78 kB
    xet
    Model save over 3 years ago
  • events.out.tfevents.1677737852.serv-3317.65116.5
    459 Bytes
    xet
    End of training over 3 years ago