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afterthougt
/
test

Text Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use afterthougt/test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="afterthougt/test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("afterthougt/test")
    model = AutoModelForSequenceClassification.from_pretrained("afterthougt/test")
  • Notebooks
  • Google Colab
  • Kaggle
test
711 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
afterthougt's picture
afterthougt
test: upload large file
a1c8530 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    845 Bytes
    test: upload large file about 3 years ago
  • pytorch_model.bin
    711 MB
    xet
    test: upload large file about 3 years ago