BioLinkBERT-large is an Apache-2.0-licensed biomedical language model trained for tasks involving scientific and biomedical text. Developers can load its weights with Transformers or use supported inference providers for classification, embeddings, question answering, and token classification.
BioLinkBERT Large sits in PulseGate's Other AI category. It focuses on processing and representing biomedical text for classification, retrieval, and other natural language tasks. BioLinkBERT Large is an open-source project aimed at machine learning researchers and biomedical NLP developers. The project is open source (Apache-2.0). It ships for the web and API, and it can be self-hosted.
Michiyasunaga builds and maintains BioLinkBERT Large, and it first shipped in 2022. The project is developed in the open on GitHub with 458 stars. Key capabilities include text classification, feature extraction, and fill-mask.
Summary written by a language model from the project’s public pages.
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