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princeton-nlp
/
densephrases-multi-query-tqa

Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community

Instructions to use princeton-nlp/densephrases-multi-query-tqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use princeton-nlp/densephrases-multi-query-tqa with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, Encoder
    
    tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/densephrases-multi-query-tqa")
    model = Encoder.from_pretrained("princeton-nlp/densephrases-multi-query-tqa")
  • Notebooks
  • Google Colab
  • Kaggle
densephrases-multi-query-tqa
1.3 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
princeton-nlp's picture
princeton-nlp
Update config.json
7041d91 almost 5 years ago
  • .gitattributes
    1.18 kB
    initial commit almost 5 years ago
  • config.json
    453 Bytes
    Update config.json almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.3 GB
    xet
    Upload pytorch_model.bin with git-lfs almost 5 years ago