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priyabrat
/
UpTag_GenderClassification

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

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

  • Libraries
  • Transformers

    How to use priyabrat/UpTag_GenderClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="priyabrat/UpTag_GenderClassification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("priyabrat/UpTag_GenderClassification")
    model = AutoModelForSequenceClassification.from_pretrained("priyabrat/UpTag_GenderClassification")
  • Notebooks
  • Google Colab
  • Kaggle
UpTag_GenderClassification
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  • 1 contributor
History: 27 commits
priyabrat's picture
priyabrat
Update config.json
c9a052a over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    626 Bytes
    Update config.json over 3 years ago
  • tf_model.h5
    268 MB
    xet
    Upload tf_model.h5 over 3 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer.json over 3 years ago
  • tokenizer_config.json
    345 Bytes
    Update tokenizer_config.json over 3 years ago