esm3-sm-open-v1 huggingface.co api & biohub esm3-sm-open-v1 github AI Model

Introduction of esm3-sm-open-v1

Model Details of esm3-sm-open-v1

Model Card for esm3-sm-open-v1

esm3-sm-open-v1 is trained on 2.78 billion natural proteins. With synthetic data augmentation, this led to 3.15 billion protein sequences, 236 million protein structures, and 539 million proteins with function annotations, totaling 771 billion tokens. esm3-sm-open-v1 is a generative model capable of designing proteins conditioned on partial prompts of sequence, structure and function.

Safety is an important part of our model - data related to viruses has been removed from the training dataset, as well as some proteins belonging to organisms on the USDA Select Agents and Toxins list. The function decoder has been filtered for potentially harmful keywords.

Usage

Using ESM3 requires esm

pip install esm

Please refer to the readme and notebooks in the esm repository for details on how to use the model.

License

This repository is under a custom non-commercial license .

Runs of biohub esm3-sm-open-v1 on huggingface.co

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More Information About esm3-sm-open-v1 huggingface.co Model

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esm3-sm-open-v1 install

esm3-sm-open-v1 is an open source model from GitHub that offers a free installation service, and any user can find esm3-sm-open-v1 on GitHub to install. At the same time, huggingface.co provides the effect of esm3-sm-open-v1 install, users can directly use esm3-sm-open-v1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.