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Ko-fi	Liberapay

This instance provides a wiki service which only users of this lemmy can use. If you want a wiki for your community or your account or whatever, feel free to use it

This instance currently allows new community creation, however the following subjects are explicitly not allowed as communities.

Nothing positive or promoting cryptocurrency, blockchain or NFTs
Nothing extreme-right-wing. This includes conspiracy theories, SovCit, Pro-Police, AnCaps etc. We'll know it when I see it, don't test us!
No anti-science topics.
No Tankie shit.
No TERFs.
No Porn.

Preferably you'll stay within the topics endorsed by this instance (see first line)

Note that you are expected to attempt to create an active community and not just squat on a name. Inactive communities will be purged after receiving a warning.

Find us on Matrix and regale us with your tales of adventure!

When going to other communities, respect their rules AND our rules when they are more restrictive. Do not give cause for others to de-federate our instance please.

Alternative Frontends

founded 2 years ago

ADMINS

Seamless: Meta's New Speech Models (ai.meta.com)

submitted 2 years ago by [email protected] to c/[email protected]

0 comments fedilink

HN Discussion

Seamless Communication - A family of Al translation models that enable more natural and authentic communication across languages (ai.meta.com)

submitted 2 years ago* (last edited 2 years ago) by Even_Adder to c/[email protected]

2 comments fedilink

SeamlessM4T

SeamlessM4T is our foundational all-in-one Massively Multilingual and Multimodal Machine Translation model delivering high-quality translation for speech and text in nearly 100 languages.

SeamlessM4T models support the tasks of:

Speech-to-speech translation (S2ST)
Speech-to-text translation (S2TT)
Text-to-speech translation (T2ST)
Text-to-text translation (T2TT)
Automatic speech recognition (ASR)

🌟 We are releasing SemalessM4T v2, an updated version with our novel UnitY2 architecture. This new model improves over SeamlessM4T v1 in quality as well as inference latency in speech generation tasks.

To learn more about the collection of SeamlessM4T models, the approach used in each, their language coverage and their performance, visit the SeamlessM4T README or 🤗 Model Card