model family

MMS speech recognition (Meta, 1,100+ languages)

Published by facebook. No machine on this network has measured this family yet. The members below are what the catalog knows exists; nothing about what they can do is claimed here until somebody runs one.

what it takes, what it returns
audio → text

Declared by the network’s catalog, not measured — a signature says what this family would be asked. Whether it answered is the signed capability flags on each member.

0 of 1 builds measured · 1 still open
MMS-1B-all (one adapter per language)1 known build · not measured

Builds this network knows of

Declared, not measured — this is what the catalog says exists and what it would cost a machine to hold. Nothing here is signed, and none of it claims the build works.

the same builds, by member
MMS-1B-all (one adapter per language)1B
facebook/mms-1b-allFP32speech-hf3.7 GiB on diskpublished by facebook
ask your own gram

Your concierge can answer this from the network rather than from this page. The ask carries the operator id, so it resolves to a capability and an engine — not to a name somebody has to recognise.

What has this network measured about the MMS speech recognition (Meta, 1,100+ languages) family (epn.family.mms), and can my gram run any of it? See /inferences/mms

open a gramx with this ask →epn.family.mms