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Etelis
/
TweetEval_XLNET_5E

Text Classification
Transformers
PyTorch
xlnet
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use Etelis/TweetEval_XLNET_5E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Etelis/TweetEval_XLNET_5E with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Etelis/TweetEval_XLNET_5E")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Etelis/TweetEval_XLNET_5E")
    model = AutoModelForSequenceClassification.from_pretrained("Etelis/TweetEval_XLNET_5E")
  • Notebooks
  • Google Colab
  • Kaggle
TweetEval_XLNET_5E
473 MB
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  • 1 contributor
History: 3 commits
Etelis's picture
Etelis
update model card README.md
4c08b2f over 3 years ago
  • .gitattributes
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  • .gitignore
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  • README.md
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  • config.json
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  • pytorch_model.bin
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  • special_tokens_map.json
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  • spiece.model
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  • tokenizer.json
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  • tokenizer_config.json
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  • training_args.bin
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