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return2music
/
roberta-base_classification_test

Text Classification
Transformers
PyTorch
TensorBoard
roberta
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use return2music/roberta-base_classification_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use return2music/roberta-base_classification_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="return2music/roberta-base_classification_test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("return2music/roberta-base_classification_test")
    model = AutoModelForSequenceClassification.from_pretrained("return2music/roberta-base_classification_test")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base_classification_test / logs
2.57 MB
Ctrl+K
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  • 1 contributor
History: 17 commits
return2music's picture
return2music
Training in progress, epoch 8
503ed68 almost 3 years ago
  • 1685855303.4858577
    Training in progress, epoch 1 almost 3 years ago
  • 1685861963.9290092
    Training in progress, epoch 1 almost 3 years ago
  • 1685892206.1145375
    Training in progress, epoch 1 almost 3 years ago
  • events.out.tfevents.1685855303.192-9-250-191.68796.0
    604 kB
    xet
    Training in progress, epoch 1 almost 3 years ago
  • events.out.tfevents.1685861963.192-9-250-191.68796.2
    804 kB
    xet
    Training in progress, epoch 1 almost 3 years ago
  • events.out.tfevents.1685892206.192-9-250-191.149339.0
    1.15 MB
    xet
    Training in progress, epoch 8 almost 3 years ago