facebook/dpr-question_encoder-single-nq-base

feature-extraction model by facebook

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Model Description: Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art open-domain Q&A research. dpr-questionencoder-single-nq-base is the question encoder trained using the Natural Questions (NQ) dataset (Lee et al., 2019; Kwiatkowski et al., 2019). Use the code below to get started with the model. dpr-questionencoder-single-nq-base, dpr-ctxencoder-single-nq-base, and dpr-reader-single-nq-base can be used for the task of open-domain question answering. The model should not be used to intentionally create hostile or alienating environments for people. In addition, the set of DPR models was not trained to be factual or true representations of people or events, and therefore using the models to generate such content is out-of-scope for the abilities of this model. CONTENT WARNING: Readers should be aware this section may contain content that is disturbing, offensive, and can propogate historical and current stereotypes. Significant research has explored bias and fairness issues with language models (see, e.g., Sheng…

facebook/dpr-question_encoder-single-nq-base on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. dpr-questionencoder-single-nq-base
  2. Table of Contents
  3. Model Details
  4. How to Get Started with the Model
  5. Uses
  6. Direct Use
  7. Misuse and Out-of-scope Use
  8. Risks, Limitations and Biases
  9. Training
  10. Training Data
  11. Training Procedure
  12. Evaluation

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Documentation belongs to its respective authors. Reported project/model license: cc-by-nc-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

facebook/dpr-question_encoder-single-nq-base is a feature-extraction model repository published by facebook on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
feature-extraction
Library
transformers
Recent downloads (30 days)
105,358
Cumulative likes
36
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
DPRQuestionEncoder
License
cc-by-nc-4.0
Access
Not gated by Hugging Face
Created
2022-03-02T23:29:05.000Z
Last modified
2022-12-21T15:20:10.000Z

Compatibility and lineage

Reported languages: en

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:51.512Z. Daily imports are snapshots, not real-time monitoring.

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