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thomasavare
/
distilbert-ft-test1

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
TensorBoard
distilbert
generated_from_keras_callback
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use thomasavare/distilbert-ft-test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thomasavare/distilbert-ft-test1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="thomasavare/distilbert-ft-test1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("thomasavare/distilbert-ft-test1")
    model = AutoModelForSequenceClassification.from_pretrained("thomasavare/distilbert-ft-test1")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-ft-test1 / runs
20.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
thomasavare's picture
thomasavare
Training in progress, epoch 1
3a67829 about 3 years ago
  • Mar31_15-58-58_5ef9dcf0644e
    Training in progress, epoch 1 about 3 years ago
  • Mar31_16-28-32_5ef9dcf0644e
    Training in progress, epoch 1 about 3 years ago