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tarekziade
/
topic_classification

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

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

  • Libraries
  • Transformers

    How to use tarekziade/topic_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tarekziade/topic_classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tarekziade/topic_classification")
    model = AutoModelForSequenceClassification.from_pretrained("tarekziade/topic_classification")
  • Notebooks
  • Google Colab
  • Kaggle
topic_classification
118 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
tarekziade's picture
tarekziade HF Staff
use transformers.js converter
ea6e063 over 2 years ago
  • onnx
    use transformers.js converter over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.95 kB
    initial conversion over 2 years ago
  • config.json
    1.34 kB
    use transformers.js converter over 2 years ago
  • quantize_config.json
    713 Bytes
    use transformers.js converter over 2 years ago
  • special_tokens_map.json
    695 Bytes
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  • tf_model.h5
    51.2 MB
    xet
    initial conversion over 2 years ago
  • tokenizer.json
    712 kB
    initial conversion over 2 years ago
  • tokenizer_config.json
    1.46 kB
    use transformers.js converter over 2 years ago
  • vocab.txt
    232 kB
    initial conversion over 2 years ago