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This would involve a few parts to implement seamlessly, but in general I would imagine this user scenario:
The user built an engine and is drafting
Low and behold, they want a different book drafted than they originally thought they wanted! They request a "fast draft" of that book.
5 minutes later, they have the book drafted!
The API workflow could look like this:
The Nmt engine is marked for persistence.
The user requests another build and either:
Has the same exact training corpora? Has no training corpora?
Has a special flag in the options?
it would also be helpful to have queue name so that we can assign it to a fast turn GPU to get a nice 5-20 minute turn, rather than 10 hours - New NMT option - choose ClearML queue #465
The text was updated successfully, but these errors were encountered:
This would involve a few parts to implement seamlessly, but in general I would imagine this user scenario:
The API workflow could look like this:
The text was updated successfully, but these errors were encountered: