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I am trying to determine an optimal set of options for transcribing few old Japanese anime. For a test flow of various options, would the model behave differently if it is loaded and called in below methods A and B?
Test 3 sets of options on same audio file:
========= moethod A ==================
model = whisper.load_model("large")
result1 = model.transcribe("file.wav", **options1)
result2 = model.transcribe("file.wav", **options2)
result3 = model.transcribe("file.wav", **options3)
========= method B ===================
model = whisper.load_model("large")
result1 = model.transcribe("file.wav", **options1)
model = whisper.load_model("large")
result2 = model.transcribe("file.wav", **options2)
model = whisper.load_model("large")
result3 = model.transcribe("file.wav", **options3)
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I am trying to determine an optimal set of options for transcribing few old Japanese anime. For a test flow of various options, would the model behave differently if it is loaded and called in below methods A and B?
========= moethod A ==================
model = whisper.load_model("large")
result1 = model.transcribe("file.wav", **options1)
result2 = model.transcribe("file.wav", **options2)
result3 = model.transcribe("file.wav", **options3)
========= method B ===================
model = whisper.load_model("large")
result1 = model.transcribe("file.wav", **options1)
model = whisper.load_model("large")
result2 = model.transcribe("file.wav", **options2)
model = whisper.load_model("large")
result3 = model.transcribe("file.wav", **options3)
=====================================
Thanks for any pointers.
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