My goal: I would like to calculate word embeddings in a fast way. So definitely performing calculations using one cpu core is not sufficient.
I would like to run calculations on multiple CPU cores.
Question How to run calculations on multiple CPU cores?
terms.train-vectors seems to have just one parameter that is related to this problem. I mean
The above screenshot was made on AWS c5.12xlarge instance (48 vCPUs, 96 Gb RAM).
--n-workers parameter was equal to 4. So just one vCPU was used.