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LogischeIP
/
SentimentT2_GPT2

Text Classification
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use LogischeIP/SentimentT2_GPT2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LogischeIP/SentimentT2_GPT2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LogischeIP/SentimentT2_GPT2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LogischeIP/SentimentT2_GPT2")
    model = AutoModelForSequenceClassification.from_pretrained("LogischeIP/SentimentT2_GPT2")
  • Notebooks
  • Google Colab
  • Kaggle
SentimentT2_GPT2 / runs /Jan24_19-33-53_7d2b1e2d4e1a
4.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
LogischeIP's picture
LogischeIP
End of training
344d352 verified over 2 years ago
  • events.out.tfevents.1706124834.7d2b1e2d4e1a.26662.3
    4.7 kB
    xet
    End of training over 2 years ago