ESM2 is a family of protein language models trained on millions of protein sequences. The t12_35M_UR50D variant contains 35 million parameters and is trained on UniRef50. It can be used for protein representation learning, structure prediction, and other bioinformatics tasks.
Esm2 T12 35M UR50D is a Foundation models & chat product. It focuses on predicting protein properties and generating representations from amino acid sequences using transformer models. Esm2 T12 35M UR50D is an open-source project aimed at developers. The project is open source (Open Source). The product ships for the web and API.
It is developed by Meta (United States), and the product first shipped in 2022.
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