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Mingyi
/
classify_title_subject

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 Mingyi/classify_title_subject with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mingyi/classify_title_subject with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Mingyi/classify_title_subject")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Mingyi/classify_title_subject")
    model = AutoModelForSequenceClassification.from_pretrained("Mingyi/classify_title_subject")
  • Notebooks
  • Google Colab
  • Kaggle
classify_title_subject
715 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
Mingyi's picture
Mingyi
Update README.md
c0d95e1 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    4.58 kB
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  • config.json
    1.16 kB
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  • special_tokens_map.json
    112 Bytes
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  • tf_model.h5
    712 MB
    xet
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  • tokenizer.json
    1.96 MB
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  • tokenizer_config.json
    333 Bytes
    add tokenizer over 4 years ago
  • vocab.txt
    996 kB
    add tokenizer over 4 years ago