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update documentation (#19706)
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@ -1288,7 +1288,7 @@ class TFWhisperForConditionalGeneration(TFWhisperPreTrainedModel, TFCausalLangua
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>>> transcription = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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>>> transcription
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' Mr. Quilter is the apostle of the middle classes, and we are glad to'
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' Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.'
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```"""
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return_dict = return_dict if return_dict is not None else self.config.use_return_dict
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@ -1178,7 +1178,7 @@ class WhisperForConditionalGeneration(WhisperPreTrainedModel):
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>>> transcription = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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>>> transcription
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' Mr. Quilter is the apostle of the middle classes, and we are glad to'
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' Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.'
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```"""
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return_dict = return_dict if return_dict is not None else self.config.use_return_dict
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@ -76,11 +76,9 @@ class WhisperProcessor(ProcessorMixin):
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def __call__(self, *args, **kwargs):
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"""
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When used in normal mode, this method forwards all its arguments to WhisperFeatureExtractor's
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[`~WhisperFeatureExtractor.__call__`] and returns its output. If used in the context
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[`~WhisperProcessor.as_target_processor`] this method forwards all its arguments to WhisperTokenizer's
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[`~WhisperTokenizer.__call__`]. Please refer to the doctsring of the above two methods for more information.
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Forwards the `audio` argument to WhisperFeatureExtractor's [`~WhisperFeatureExtractor.__call__`] and the `text`
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argument to [`~WhisperTokenizer.__call__`]. Please refer to the doctsring of the above two methods for more
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information.
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"""
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# For backward compatibility
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if self._in_target_context_manager:
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