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ESM3 Protein fold example #1012
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🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-2fce074.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-49a1375.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-3b50946.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-ffeec26.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-e0f2cb8.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-be2e81c.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-4cde486.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-3357c03.modal.run |
Summary of updates:
Punts (b/c taking too long):
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fix bugs with wrong residue coloring
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🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-b258ecd.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-7610d86.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-daf4d60.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-592a10d.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-ee736f3.modal.run |
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-4098d6a.modal.run |
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One note about structure, on top of the changes I made.
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# To minimize cold start times we'll store the ESM3 model weights on a Modal | ||
# [Volume](https://modal.com/docs/guide/volumes). Normally we would do that | ||
# through the `cache_dir` argument of `from_pretrained` but ESM3 doesn't |
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This is too early to introduce this statement -- there's no use of from_pretrained
here, we're just setting up paths and Volumes.
When writing documenation, you want to minimize the load on the user's working memory -- a bit like utilizing a hardware-managed cache, where you want temporal locality.
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In my updates, I added a link to the model weights guide -- that way we can defer discussion of finer points.
🚀 The docs preview is ready! Check it out here: https://modal-labs-examples--frontend-preview-fc30e47.modal.run |
Fold Proteins using ESM3 and visualize confidence in structure and known structures from PDBs
Type of Change
Checklist
lambda-test: false
is added to example frontmatter (---
)modal run
or an alternativecmd
is provided in the example frontmatter (e.g.cmd: ["modal", "deploy"]
)args
are provided in the example frontmatter (e.g.args: ["--prompt", "Formula for room temperature superconductor:"]
latest
python_version
for the base image, if it is used~=x.y.z
or==x.y
version < 1
are pinned to patch version,==0.y.z
Outside contributors
You're great! Thanks for your contribution.