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Database of generated embeddings #30
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Hi, Thanks for your interest. We have not generated the embedding for uniref50. As you know, it would require a lot of computing and storage. Could you please share your own use-case and what are the benefits for you to have access to the whole uniref50 embedding? I have tagged our product owner @wafaaashraf to follow-up on this request. |
Thanks for your answer. My use-case is for research, I need all the embeddings of uniref50 because I use them for downstream tasks as input. |
Hi, thanks so much for your work !
I was wondering, using Ankh, have you generated the embeddings on uniref50 or another database and made it available somewhere by any chance ? It would be awesome and time saving ! Both in float16 or float64. (float16 would be easier to store, and I think it is as performant as float64 on downstream tasks ?)
Thanks
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