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krm
/
my_exercice_mrpc

Text Classification
Transformers
google-tensorflow TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use krm/my_exercice_mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use krm/my_exercice_mrpc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="krm/my_exercice_mrpc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("krm/my_exercice_mrpc")
    model = AutoModelForSequenceClassification.from_pretrained("krm/my_exercice_mrpc")
  • Notebooks
  • Google Colab
  • Kaggle
my_exercice_mrpc
Ctrl+K
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  • 1 contributor
History: 4 commits
krm's picture
krm
Update ReadMe file : PRECISIONS
3dd7e2f over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • README.md
    1.63 kB
    Update ReadMe file : PRECISIONS over 3 years ago
  • config.json
    650 Bytes
    Training in progress epoch 0 over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress epoch 0 over 3 years ago
  • tf_model.h5
    438 MB
    xet
    End of training over 3 years ago
  • tokenizer.json
    711 kB
    Training in progress epoch 0 over 3 years ago
  • tokenizer_config.json
    348 Bytes
    Training in progress epoch 0 over 3 years ago
  • vocab.txt
    232 kB
    Training in progress epoch 0 over 3 years ago