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rewayai
/
suplime

Automatic Speech Recognition
pyannote.audio
pyannote
pyannote-audio-pipeline
audio
voice
speech
speaker
speaker-diarization
speaker-segmentation
speaker-embedding
wavlm
conformer
wespeaker
Model card Files Files and versions
xet
Community

Instructions to use rewayai/suplime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • pyannote.audio

    How to use rewayai/suplime with pyannote.audio:

    from pyannote.audio import Pipeline
    
    pipeline = Pipeline.from_pretrained("rewayai/suplime")
    
    # inference on the whole file
    pipeline("file.wav")
    
    # inference on an excerpt
    from pyannote.core import Segment
    excerpt = Segment(start=2.0, end=5.0)
    
    from pyannote.audio import Audio
    waveform, sample_rate = Audio().crop("file.wav", excerpt)
    pipeline({"waveform": waveform, "sample_rate": sample_rate})
  • Notebooks
  • Google Colab
  • Kaggle
suplime
570 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
janprofant's picture
janprofant
Card: remove inference-cost and throughput claims
a1b158a verified 28 days ago
  • embedding
    SUPlime 0.1.0 about 1 month ago
  • reproducible_research
    SUPlime 0.1.0 about 1 month ago
  • segmentation
    SUPlime 0.1.0 about 1 month ago
  • .gitattributes
    174 Bytes
    Model card: SUPlime-L column and pointer to rewayai/suplime-large (part 2) 29 days ago
  • LICENSE
    1.72 kB
    SUPlime 0.1.0 about 1 month ago
  • README.md
    11.6 kB
    Card: remove inference-cost and throughput claims 28 days ago
  • config.yaml
    1.05 kB
    config: explain the suplime version floor 29 days ago
  • logo.png
    1.01 MB
    xet
    SUPlime 0.1.0 about 1 month ago
  • results.png
    121 kB
    xet
    Verified numbers from the published pipeline (12 corpora) 29 days ago