facebook/mms-lid-126 is a fine-tuned language identification model from Meta's Massively Multilingual Speech project. It classifies input audio into one of 126 supported languages using a wav2vec2-based architecture. The model is distributed on Hugging Face for use with the Transformers library in research and application development.
Mms Lid 126 sits in PulseGate's Speech to text category. It focuses on identifying the spoken language in audio across 126 languages without building custom models. Mms Lid 126 is an open-source project aimed at developers. The project is open source (Apache-2.0). Mms Lid 126 is available on the web, the command line, and API.
Meta AI builds and maintains Mms Lid 126, and it first shipped in 2018. Development happens publicly on GitHub with 162.8k stars and 747 commits in the last 90 days. Key capabilities include Audio Classification, Multilingual LID, and Transformers Integration. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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