prot_bert is an open protein language model from Rostlab for analyzing and modeling amino acid sequences. Developers and researchers can run it with Transformers and PyTorch, use fill-mask inference, or access hosted inference services.
Prot Bert sits in PulseGate's Other models category. It focuses on analyzing and modeling protein sequences with a pretrained language model. Prot Bert is an open-source project aimed at bioinformatics researchers and machine learning developers. The project is open source (MIT). It runs on the web and API, and it can be self-hosted.
Rostlab builds and maintains Prot Bert, and it first shipped in 2020. Development happens publicly on GitHub with 1.3k stars. Key capabilities include protein sequence modeling, fill-mask inference, and transformers support. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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