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facebook
/
dpr-question_encoder-multiset-base

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
English
dpr
Model card Files Files and versions
xet
Community
2

Instructions to use facebook/dpr-question_encoder-multiset-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/dpr-question_encoder-multiset-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="facebook/dpr-question_encoder-multiset-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/dpr-question_encoder-multiset-base")
    model = AutoModel.from_pretrained("facebook/dpr-question_encoder-multiset-base")
  • Notebooks
  • Google Colab
  • Kaggle
dpr-question_encoder-multiset-base
876 MB
Ctrl+K
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  • 4 contributors
History: 4 commits
LysandreJik's picture
LysandreJik
Add TensorFlow model
7fea5aa over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • config.json
    493 Bytes
    Update config.json over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • tf_model.h5
    438 MB
    xet
    Add TensorFlow model over 5 years ago