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+ # ISM
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+
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+ By [Jeffrey Ouyang-Zhang](https://jozhang97.github.io/), [Chengyue Gong](https://sites.google.com/view/chengyue-gong), [Yue Zhao](https://zhaoyue-zephyrus.github.io), [Philipp Krähenbühl](http://www.philkr.net/), [Adam Klivans](https://www.cs.utexas.edu/users/klivans/), [Daniel J. Diaz](http://danny305.github.io)
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+ This repository contains the model presented in the paper [Distilling Structural Representations into Protein Sequence Models](https://www.biorxiv.org/content/10.1101/2024.11.08.622579v1).
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+ The official github can be found at https://github.com/jozhang97/ism.
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+
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+ **TL; DR.** ESM2 with enriched structural representations
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+
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+ ## Quickstart
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+
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+ This quickstart assumes that the user is already working with ESM-C and is interested in replacing ESM-C with ISM-C. First, download ISM-C.
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+ ```bash
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+ # recommended
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+ huggingface-cli download jozhang97/ismc-600m-2024-12 --local-dir /path/to/save/ismc
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+
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+ # alternative
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+ git clone https://huggingface.co/jozhang97/ismc-600m-2024-12
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+ ```
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+
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+ Add the following lines of code.
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+ ```
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+ from esm.models.esmc import ESMC
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+ model = ESMC.from_pretrained("esmc_600m").to("cuda")
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+ state_dict = torch.load('/path/to/ismc_600m_2024_12_v0.pth')
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+ model.load_state_dict(state_dict)
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+ ```