This is an open-weight BERT model fine-tuned for extractive question answering on SQuAD 2.0. Developers can load it locally with Transformers and deploy it through supported inference services.
Bert Large Uncased Whole Word Masking Squad2 sits in PulseGate's Foundation models & chat category. It focuses on answering questions from supplied text without training a question-answering model from scratch. It is built as an open-source project for machine learning developers. Bert Large Uncased Whole Word Masking Squad2 is open source under the Apache-2.0 license. It ships for the web and the command line, and it can be self-hosted.
deepset builds and maintains Bert Large Uncased Whole Word Masking Squad2, and it first shipped in 2019. The project is developed in the open on GitHub with 26.2k stars and 718 commits in the last 90 days. Key capabilities include question answering, SQuAD 2.0, and transformers support.
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