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    NVIDIA
    STT Multilingual FastConformer Hybrid Transducer-CTC Large P&C
    The large version (114M) of the Multilingual speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 2560 and emits text with punctuation and capitalization.
    Model
    NVIDIA
    STT Be Conformer-CTC Large
    Conformer-CTC-Large model for Belarusian Automatic Speech Recognition, trained on Mozilla Common Voice 10.0 Belarusian dataset.
    Model
    NVIDIA
    STT By Conformer-RNNT Large
    This collection contains the large version (114M) of the Belarusian speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 1024 and emits text with punctuation and capitalization.
      Model
      NVIDIA
      STT Be Conformer-Transducer Large
      Conformer-Transducer(RNNT)-Large model for Belarusian Automatic Speech Recognition, Trained on MCV-10-be
      Model