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nvidia
/
nemotron-3.5-asr-streaming-0.6b

Automatic Speech Recognition
NeMo
Safetensors
Transformers
PyTorch
nemotron3_5_asr
feature-extraction
speech-recognition
cache-aware ASR
streaming-asr
multilingual
speech
audio
FastConformer
RNNT
Parakeet
ASR
NeMo
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community
29

Instructions to use nvidia/nemotron-3.5-asr-streaming-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use nvidia/nemotron-3.5-asr-streaming-0.6b with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/nemotron-3.5-asr-streaming-0.6b")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Transformers

    How to use nvidia/nemotron-3.5-asr-streaming-0.6b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nvidia/nemotron-3.5-asr-streaming-0.6b")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("nvidia/nemotron-3.5-asr-streaming-0.6b")
    model = AutoModel.from_pretrained("nvidia/nemotron-3.5-asr-streaming-0.6b", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
nemotron-3.5-asr-streaming-0.6b
2.37 GB
Ctrl+K
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  • 6 contributors
History: 28 commits
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