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.ipynb_checkpoints/README-checkpoint.md

@@ -15,7 +15,7 @@ model = WhisperModel("distil-whisper/distil-large-v3.5-ct2", device=device, comp
 dataset = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
 sample = dataset[1]["audio"]["path"]
 
-segments, info = model.transcribe(sample, beam_size=1)
+segments, info = model.transcribe(sample, beam_size=5, language="en")
 
 for segment in segments:
     print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))

README.md

@@ -15,7 +15,7 @@ model = WhisperModel("distil-whisper/distil-large-v3.5-ct2", device=device, comp
 dataset = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
 sample = dataset[1]["audio"]["path"]
 
-segments, info = model.transcribe(sample, beam_size=1)
+segments, info = model.transcribe(sample, beam_size=5, language="en")
 
 for segment in segments:
     print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))