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afaji
/
bert-massive-test

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

Instructions to use afaji/bert-massive-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use afaji/bert-massive-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="afaji/bert-massive-test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("afaji/bert-massive-test")
    model = AutoModelForSequenceClassification.from_pretrained("afaji/bert-massive-test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-massive-test / runs
35.8 kB
Ctrl+K
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  • 1 contributor
History: 10 commits
afaji's picture
afaji
Training in progress, step 3500
c1ac3c3 verified over 2 years ago
  • Mar04_07-33-40_2cb5ca8cdd89
    Training in progress, step 500 over 2 years ago
  • Mar04_07-50-22_2cb5ca8cdd89
    Training in progress, step 500 over 2 years ago
  • Mar04_07-54-28_2cb5ca8cdd89
    Training in progress, step 500 over 2 years ago
  • Mar04_07-58-55_2cb5ca8cdd89
    Training in progress, step 3500 over 2 years ago