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Mhammad2023
/
snli-bert-base-uncased

Text Classification
Transformers
google-tensorflow TensorFlow
bert
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use Mhammad2023/snli-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mhammad2023/snli-bert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Mhammad2023/snli-bert-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Mhammad2023/snli-bert-base-uncased")
    model = AutoModelForSequenceClassification.from_pretrained("Mhammad2023/snli-bert-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
snli-bert-base-uncased
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Mhammad2023's picture
Mhammad2023
update README.md
b5ed983 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    4.09 kB
    update README.md 12 months ago
  • config.json
    764 Bytes
    Training in progress epoch 0 12 months ago
  • tf_model.h5
    438 MB
    xet
    Training in progress epoch 2 12 months ago