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Sayan01
/
mnli-distilled-bart-cross-roberta

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

Instructions to use Sayan01/mnli-distilled-bart-cross-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sayan01/mnli-distilled-bart-cross-roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Sayan01/mnli-distilled-bart-cross-roberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Sayan01/mnli-distilled-bart-cross-roberta")
    model = AutoModelForSequenceClassification.from_pretrained("Sayan01/mnli-distilled-bart-cross-roberta", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mnli-distilled-bart-cross-roberta / logs
24.3 kB
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  • 1 contributor
History: 12 commits
Sayan01's picture
Sayan01
Training in progress, epoch 10
584fb51 almost 4 years ago
  • 1664206483.430476
    Training in progress, epoch 1 almost 4 years ago
  • 1664217293.527753
    Training in progress, epoch 1 almost 4 years ago
  • events.out.tfevents.1664206464.4b9c6af47395
    4.95 kB
    xet
    Training in progress, epoch 2 almost 4 years ago
  • events.out.tfevents.1664217251.fd84fa762179
    8.85 kB
    xet
    Training in progress, epoch 10 almost 4 years ago