Clarify documentation for hotwords (#817)
* Clarify documentation for hotwords * Remove redundant type specifications
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@@ -294,15 +294,15 @@ class WhisperModel:
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the maximum will be set by the default max_length.
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the maximum will be set by the default max_length.
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chunk_length: The length of audio segments. If it is not None, it will overwrite the
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chunk_length: The length of audio segments. If it is not None, it will overwrite the
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default chunk_length of the FeatureExtractor.
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default chunk_length of the FeatureExtractor.
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clip_timestamps: Union[str, List[float]]
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clip_timestamps:
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Comma-separated list start,end,start,end,... timestamps (in seconds) of clips to
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Comma-separated list start,end,start,end,... timestamps (in seconds) of clips to
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process. The last end timestamp defaults to the end of the file.
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process. The last end timestamp defaults to the end of the file.
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vad_filter will be ignored if clip_timestamps is used.
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vad_filter will be ignored if clip_timestamps is used.
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hallucination_silence_threshold: Optional[float]
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hallucination_silence_threshold:
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When word_timestamps is True, skip silent periods longer than this threshold
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When word_timestamps is True, skip silent periods longer than this threshold
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(in seconds) when a possible hallucination is detected
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(in seconds) when a possible hallucination is detected
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hotwords:Optional text
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hotwords:
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add hotwords if set prefix it invalid
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Hotwords/hint phrases to provide the model with. Has no effect if prefix is not None.
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language_detection_threshold: If the maximum probability of the language tokens is higher
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language_detection_threshold: If the maximum probability of the language tokens is higher
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than this value, the language is detected.
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than this value, the language is detected.
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language_detection_segments: Number of segments to consider for the language detection.
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language_detection_segments: Number of segments to consider for the language detection.
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