xlm-roberta-large-squad2 is an open-weight multilingual question-answering model fine-tuned on the SQuAD v2 dataset. Developers can download and run it locally for extractive question answering.
Xlm Roberta Large Squad2 sits in PulseGate's Foundation models & chat category. It focuses on answering questions from multilingual text without training a question-answering model from scratch. Xlm Roberta Large Squad2 is an open-source project aimed at machine learning developers. Xlm Roberta Large Squad2 is open source under the Apache-2.0 license. Xlm Roberta Large Squad2 is available on the web and the command line, and it can be self-hosted.
Behind Xlm Roberta Large Squad2 is deepset, and it first shipped in 2019. The project is developed in the open on GitHub with 26.2k stars and 717 commits in the last 90 days. Key capabilities include question answering, multilingual text, and SQuAD v2 support.
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