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tensorlake
/
speaker-diarization-3.1

Automatic Speech Recognition
pyannote.audio
pyannote
pyannote-audio-pipeline
audio
voice
speech
speaker
speaker-diarization
speaker-change-detection
voice-activity-detection
overlapped-speech-detection
Model card Files
xet
 Community
rishiraj commited on
Commit
37c8107
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verified ·
1 Parent(s): d585bff

Update handler.py

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Files changed (1) hide show
  1. handler.py +1 -1
handler.py CHANGED
@@ -28,7 +28,7 @@ import torch
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  class EndpointHandler:
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  def __init__(self, path=""):
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  # initialize pretrained pipeline
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- self._pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization-3.1")
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  # send pipeline to GPU if available
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  if torch.cuda.is_available():
 
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  class EndpointHandler:
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  def __init__(self, path=""):
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  # initialize pretrained pipeline
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+ self._pipeline = Pipeline.from_pretrained("tensorlake/speaker-diarization-3.1")
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  # send pipeline to GPU if available
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  if torch.cuda.is_available():