deepset/roberta-base-squad2 is an open-weight RoBERTa model fine-tuned on SQuAD v2 for extractive question answering. Developers and researchers can download and run it locally with transformer tooling or deploy it through compatible inference services.
Roberta Base Squad2 sits in PulseGate's Foundation models & chat category. It focuses on answering questions from provided text without building and training a question-answering model from scratch. Roberta Base Squad2 is an open-source project aimed at machine learning developers and NLP 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.
It is developed by deepset, and it first shipped in 2019. Development happens publicly on GitHub with 26.3k stars and 729 commits in the last 90 days. Among its 6 catalogued features are question answering, SQuAD v2 fine-tuning, and extractive answers.
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