inference.py: add batch_size argument to rank() #36
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rank() calls embed(), to embed the list of documents to rank according to similarity. Allowing rank() to have a batch_size argument allows it to call embed() with the same argument, which helps a lot when working with not too much RAM.
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rank() calls embed(), to embed the list of documents to rank according to similarity. Allowing rank() to have a batch_size argument allows it to call embed() with the same argument, which helps a lot when working with not too much RAM.