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| datasets: |
| - allenai/qasper |
| language: |
| - en |
| library_name: transformers |
| pipeline_tag: sentence-similarity |
| license: apache-2.0 |
| --- |
| # SciDPR Question Encoder |
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| <!-- Provide a quick summary of what the model is/does. --> |
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| ## Model Details |
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| ### Model Description |
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| <!-- Provide a longer summary of what this model is. --> |
| Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art open-domain Q&A research. scidpr-question-encoder is the Question Encoder trained using the Scientific Question Answer (QA) dataset (Pradeep et al., 2021). |
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| - **Developed by:** See [GitHub repo](https://github.com/gmftbyGMFTBY/science-llm) for model developers |
| - **Model type:** BERT-based encoder |
| - **Language(s) (NLP):** [Apache 2.0](https://github.com/gmftbyGMFTBY/science-llm/blob/main/LICENSE) |
| - **License:** English |
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| ### Model Sources [optional] |
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| <!-- Provide the basic links for the model. --> |
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| - **Repository:** [Github Repo](https://github.com/gmftbyGMFTBY/science-llm) |
| - **Paper [optional]:** [Paper Repo]() |
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