BERT large uncased is a pretrained English transformer model for masked-language modeling and text understanding. Developers and researchers can download its weights, run it locally with Transformers, or use supported inference services.
In the Foundation models & chat space, Bert Large Uncased takes a focused approach. It focuses on running masked-language modeling and text understanding tasks with a pretrained BERT model. Bert Large Uncased is an open-source project aimed at machine learning developers and researchers. The project is open source (Apache-2.0). Bert Large Uncased is available on the web, API, and the command line, and it can be self-hosted.
It is developed by Google, and it first shipped in 2018. The GitHub repository has been archived. Key capabilities include fill-mask inference, masked language modeling, and transformers support.
Summary written by a language model from the project’s public pages.
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