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NawinCom
/
Fake-New

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

Instructions to use NawinCom/Fake-New with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NawinCom/Fake-New with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NawinCom/Fake-New")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NawinCom/Fake-New")
    model = AutoModelForSequenceClassification.from_pretrained("NawinCom/Fake-New")
  • Notebooks
  • Google Colab
  • Kaggle
Fake-New
268 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
NawinCom's picture
NawinCom
Upload TFDistilBertForSequenceClassification
a5d1536 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.68 kB
    Upload TFDistilBertForSequenceClassification about 3 years ago
  • config.json
    642 Bytes
    Upload TFDistilBertForSequenceClassification about 3 years ago
  • tf_model.h5
    268 MB
    xet
    Upload TFDistilBertForSequenceClassification about 3 years ago