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Chakshu
/
conversation_terminator_classifier

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

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

  • Libraries
  • Transformers

    How to use Chakshu/conversation_terminator_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Chakshu/conversation_terminator_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Chakshu/conversation_terminator_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("Chakshu/conversation_terminator_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
conversation_terminator_classifier
217 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
Chakshu's picture
Chakshu
Add examples
d768d27 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    2.79 kB
    Add examples almost 3 years ago
  • config.json
    1.01 kB
    Training in progress epoch 0 almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress epoch 0 almost 3 years ago
  • tf_model.h5
    217 MB
    xet
    Training in progress epoch 8 almost 3 years ago
  • tokenizer_config.json
    394 Bytes
    Training in progress epoch 0 almost 3 years ago
  • vocab.txt
    232 kB
    Training in progress epoch 0 almost 3 years ago