mmBERT-base is a pre-trained multimodal BERT model hosted on Hugging Face. It supports fill-mask inference and can be used via the Transformers library or Hugging Face Inference API. The model is intended for researchers and developers working on language and multimodal AI tasks.
mmBERT Base sits in PulseGate's Foundation models & chat category. It focuses on accessing and using a pre-trained multimodal BERT model for masked language modeling tasks without training from scratch. It is built as an open-source project for machine learning researchers and developers. mmBERT Base is open source under the Open Source license. It runs on the web and API.
Johns Hopkins CLSP builds and maintains mmBERT Base, and the product first shipped in 2025. It exposes integrations via a public API.
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