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YakovElm
/
IntelDAOS15Classic_MSE

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

Instructions to use YakovElm/IntelDAOS15Classic_MSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use YakovElm/IntelDAOS15Classic_MSE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="YakovElm/IntelDAOS15Classic_MSE")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("YakovElm/IntelDAOS15Classic_MSE")
    model = AutoModelForSequenceClassification.from_pretrained("YakovElm/IntelDAOS15Classic_MSE")
  • Notebooks
  • Google Colab
  • Kaggle
IntelDAOS15Classic_MSE
438 MB
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  • 1 contributor
History: 2 commits
YakovElm's picture
YakovElm
Upload TFBertForSequenceClassification
c55c55e almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    1.79 kB
    Upload TFBertForSequenceClassification almost 3 years ago
  • config.json
    650 Bytes
    Upload TFBertForSequenceClassification almost 3 years ago
  • tf_model.h5
    438 MB
    xet
    Upload TFBertForSequenceClassification almost 3 years ago