Skip to main content
SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
NVIDIA AI Enterprise
NVIDIA AI Enterprise
  • NVIDIA NIM
    NVIDIA NIM
  • NIM Container GPUs
    NIM Container GPUs
  • Use Case
    Use Case
    3
    1
    1
    1
  • NVIDIA Platform
    NVIDIA Platform
    3
    3
  • Industry
    Industry
  • Solution
    Solution
    3
    3
    1
    1
  • Publisher
    Publisher
    10
  • Policy
    Policy
  • Displaying 10 results
    Conformer-CTC-Large model for Russian Automatic Speech Recognition, trained on Mozilla Common Voice 10.0 (Russian), Golos (Russian), Russian LibriSpeech (RuLS) and SOVA (RuAudiobooksDevices, RuDevices) datasets.
    Model
    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
    Russian Conformer ASR model trained on RIVA ASR set
    Model
    Russian Citrinet ASR model trained on ASR set 1.0
    Model
    Conformer-Transducer-Large model for Russian Automatic Speech Recognition, trained on Mozilla Common Voice 10.0 (Russian), Golos (Russian), Russian LibriSpeech (RuLS) and SOVA (RuAudiobooksDevices, RuDevices) datasets.
    Model
    Base Russian 4-gram LM
    Model
    Russian Citrinet ASR model trained on RIVA ASR set
    Model
    Rusian Conformer ASR model trained on ASR set 1.0
    Model
    Base Russian n-gram LM
    Model
    A text classification model to classify documents into one of 26 domain classes across 52 languages.
    Model