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facebook
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dpr-question_encoder-single-nq-base

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
English
dpr
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xet
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5

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="facebook/dpr-question_encoder-single-nq-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/dpr-question_encoder-single-nq-base")
    model = AutoModel.from_pretrained("facebook/dpr-question_encoder-single-nq-base")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
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Delete Junk

#5 opened 5 months ago by
qpqpqpqpqpqp

MarCognity-AI for DPR

#4 opened 7 months ago by
elly99

FileNotFoundError: [Errno 2] No such file or directory: '/models/facebook-dpr-question_encoder-single-nq-base/1_Pooling/config.json'

#3 opened over 2 years ago by
MHouse

Adding `safetensors` variant of this model

#2 opened over 2 years ago by
SFconvertbot
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