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# low-resource language support
Mms Lid 1024
This model is part of Facebook's large-scale multilingual speech project, based on the Wav2Vec2 architecture, capable of identifying speech input in 1024 languages.
Audio Classification
Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
facebook
1,869
9
Nllb 200 3.3B Ct2 Float16
NLLB-200 is a large-scale multilingual machine translation model supporting 200 languages with 3.3 billion parameters
Machine Translation Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesN
JustFrederik
19
3
Common Voice Lithuanian Fairseq
Apache-2.0
A Lithuanian automatic speech recognition model trained on the Common Voice dataset, implemented using the wav2vec2 architecture and fairseq framework.
Speech Recognition Transformers Other
Transformers OtherC
birgermoell
30
0
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