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StanfordSCALE
/
relationship_classifier_multi_retrained

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

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

  • Libraries
  • Transformers

    How to use StanfordSCALE/relationship_classifier_multi_retrained with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="StanfordSCALE/relationship_classifier_multi_retrained")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("StanfordSCALE/relationship_classifier_multi_retrained")
    model = AutoModelForSequenceClassification.from_pretrained("StanfordSCALE/relationship_classifier_multi_retrained")
  • Notebooks
  • Google Colab
  • Kaggle
relationship_classifier_multi_retrained
1.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
coder151516's picture
coder151516
Update README.md
d1ae791 verified 17 days ago
  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • README.md
    2.43 kB
    Update README.md 17 days ago
  • config.json
    888 Bytes
    Upload TFRobertaForSequenceClassification 17 days ago
  • tf_model.h5
    1.42 GB
    xet
    Upload TFRobertaForSequenceClassification 17 days ago