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NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • Displaying 8 results
    This collection contains the large version (114M) of the English 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
    This collection contains the large version (114M) of the German 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
      This collection contains the large version (114M) of the Spanish 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
      This collection contains the large version (114M) of the Ukrainian 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
      This collection contains the large version (114M) of the Polish 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
      This collection contains the large version (114M) of the Dutch 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
      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
        This collections contains the large version (114M) of the Croatian speech recognition model with a FastConformer encoder and a Hybrid decoder (joint RNNT-CTC loss). The model has a vocab size of 256 and emits text with punctuation and capitalization.
        Model