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nvidia
/
diar_streaming_sortformer_4spk-v2

Automatic Speech Recognition
NeMo
PyTorch
speaker-diarization
speaker-recognition
speech
audio
Transformer
FastConformer
Conformer
NEST
NeMo
Eval Results (legacy)
Model card Files Files and versions
xet
Community
11

Instructions to use nvidia/diar_streaming_sortformer_4spk-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use nvidia/diar_streaming_sortformer_4spk-v2 with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/diar_streaming_sortformer_4spk-v2")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Hi i have some bug if i run through fastapi

#11 opened about 1 month ago by
nhat05trn

Resetting cache between sessions

#10 opened 5 months ago by
TeetoTa

Feature Request: 8-Speaker (8 spk) version of `diar_streaming_sortformer`

3
#7 opened 7 months ago by
FIT17

CHUNK_SIZE in streaming diarization.

1
#6 opened 7 months ago by
anhalu
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