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bf091e3
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Parent(s):
dc098aa
Update README.md
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README.md
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@@ -83,7 +83,6 @@ input_features = processor(sample["array"], sampling_rate=sample["sampling_rate"
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predicted_ids = model.generate(input_features.to(device), forced_decoder_ids=forced_decoder_ids)
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# decode
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transcription = processor.batch_decode(predicted_ids)
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transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
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print(transcription)
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@@ -121,7 +120,6 @@ dataset = dataset.cast_column("audio", Audio(sampling_rate=16000))
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#print(dataset)
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def normalize(batch):
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"""Normalizes GOLD"""
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batch["gold_text"] = whisper_norm(batch['sentence'])
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return batch
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predicted_ids = model.generate(input_features.to(device), forced_decoder_ids=forced_decoder_ids)
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# decode
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transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
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print(transcription)
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#print(dataset)
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def normalize(batch):
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batch["gold_text"] = whisper_norm(batch['sentence'])
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return batch
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