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msterbentz
/
distilbert-base-complex-question

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

Instructions to use msterbentz/distilbert-base-complex-question with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use msterbentz/distilbert-base-complex-question with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="msterbentz/distilbert-base-complex-question")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("msterbentz/distilbert-base-complex-question")
    model = AutoModelForSequenceClassification.from_pretrained("msterbentz/distilbert-base-complex-question")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-base-complex-question
268 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
msterbentz's picture
msterbentz
Added model and config file.
f0fbcc1 over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • config.json
    615 Bytes
    Added model and config file. over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    268 MB
    xet
    Added model and config file. over 3 years ago