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Nhat1904
/
test_trainer_XLNET_3ep_5e-5

Text Classification
Transformers
PyTorch
TensorBoard
xlnet
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Nhat1904/test_trainer_XLNET_3ep_5e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Nhat1904/test_trainer_XLNET_3ep_5e-5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Nhat1904/test_trainer_XLNET_3ep_5e-5")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Nhat1904/test_trainer_XLNET_3ep_5e-5")
    model = AutoModelForSequenceClassification.from_pretrained("Nhat1904/test_trainer_XLNET_3ep_5e-5")
  • Notebooks
  • Google Colab
  • Kaggle
test_trainer_XLNET_3ep_5e-5 / runs
11.9 kB
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  • 1 contributor
History: 2 commits
Nhat1904's picture
Nhat1904
nhat-twitter-XLNET-mis515
d373043 over 3 years ago
  • Dec06_02-19-45_273aae5ced1f
    nhat-twitter-XLNET-mis515 over 3 years ago