deepset/deberta-v3-base-squad2 is an open-weight DeBERTa model fine-tuned for extractive question answering on the SQuAD v2 task. Developers can run it locally with Transformers and PyTorch or deploy it through supported inference services.
Deberta V3 Base Squad2 is a Foundation models & chat project. It focuses on extracting answers from source passages for question-answering applications. Deberta V3 Base Squad2 is an open-source project aimed at NLP developers and machine learning researchers. The project is open source (Apache-2.0). It ships for the web, the command line, and API, and it can be self-hosted.
deepset builds and maintains Deberta V3 Base Squad2, and it first shipped in 2019. Development happens publicly on GitHub with 26.3k stars and 745 commits in the last 90 days. Key capabilities include Question Answering, Extractive QA, and SQuAD v2.
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