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tuskbyte
/
yes_no_model

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

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

  • Libraries
  • Transformers

    How to use tuskbyte/yes_no_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tuskbyte/yes_no_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tuskbyte/yes_no_model")
    model = AutoModelForSequenceClassification.from_pretrained("tuskbyte/yes_no_model")
  • Notebooks
  • Google Colab
  • Kaggle
yes_no_model / runs
21.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
tuskbyte's picture
tuskbyte
Training in progress, step 100
af85d25 verified almost 2 years ago
  • Jun25_13-57-31_d69a21e76890
    Training in progress, step 120 almost 2 years ago
  • Jun25_17-21-18_d62ef8994b49
    Training in progress, step 100 almost 2 years ago