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whisper.xml
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usage: whisper [-h]
[--model {tiny.en,tiny,base.en,base,small.en,small,medium.en,medium,large-v1,large-v2,large}]
[--model_dir MODEL_DIR] [--device DEVICE]
[--output_dir OUTPUT_DIR]
[--output_format {txt,vtt,srt,tsv,json,all}]
[--verbose VERBOSE] [--task {transcribe,translate}]
[--language {af,am,ar,as,az,ba,be,bg,bn,bo,br,bs,ca,cs,cy,da,de,el,en,es,et,eu,fa,fi,fo,fr,gl,gu,ha,haw,he,hi,hr,ht,hu,hy,id,is,it,ja,jw,ka,kk,km,kn,ko,la,lb,ln,lo,lt,lv,mg,mi,mk,ml,mn,mr,ms,mt,my,ne,nl,nn,no,oc,pa,pl,ps,pt,ro,ru,sa,sd,si,sk,sl,sn,so,sq,sr,su,sv,sw,ta,te,tg,th,tk,tl,tr,tt,uk,ur,uz,vi,yi,yo,zh,Afrikaans,Albanian,Amharic,Arabic,Armenian,Assamese,Azerbaijani,Bashkir,Basque,Belarusian,Bengali,Bosnian,Breton,Bulgarian,Burmese,Castilian,Catalan,Chinese,Croatian,Czech,Danish,Dutch,English,Estonian,Faroese,Finnish,Flemish,French,Galician,Georgian,German,Greek,Gujarati,Haitian,Haitian Creole,Hausa,Hawaiian,Hebrew,Hindi,Hungarian,Icelandic,Indonesian,Italian,Japanese,Javanese,Kannada,Kazakh,Khmer,Korean,Lao,Latin,Latvian,Letzeburgesch,Lingala,Lithuanian,Luxembourgish,Macedonian,Malagasy,Malay,Malayalam,Maltese,Maori,Marathi,Moldavian,Moldovan,Mongolian,Myanmar,Nepali,Norwegian,Nynorsk,Occitan,Panjabi,Pashto,Persian,Polish,Portuguese,Punjabi,Pushto,Romanian,Russian,Sanskrit,Serbian,Shona,Sindhi,Sinhala,Sinhalese,Slovak,Slovenian,Somali,Spanish,Sundanese,Swahili,Swedish,Tagalog,Tajik,Tamil,Tatar,Telugu,Thai,Tibetan,Turkish,Turkmen,Ukrainian,Urdu,Uzbek,Valencian,Vietnamese,Welsh,Yiddish,Yoruba}]
[--temperature TEMPERATURE] [--best_of BEST_OF]
[--beam_size BEAM_SIZE] [--patience PATIENCE]
[--length_penalty LENGTH_PENALTY]
[--suppress_tokens SUPPRESS_TOKENS]
[--initial_prompt INITIAL_PROMPT]
[--condition_on_previous_text CONDITION_ON_PREVIOUS_TEXT]
[--fp16 FP16]
[--temperature_increment_on_fallback TEMPERATURE_INCREMENT_ON_FALLBACK]
[--compression_ratio_threshold COMPRESSION_RATIO_THRESHOLD]
[--logprob_threshold LOGPROB_THRESHOLD]
[--no_speech_threshold NO_SPEECH_THRESHOLD]
[--word_timestamps WORD_TIMESTAMPS]
[--prepend_punctuations PREPEND_PUNCTUATIONS]
[--append_punctuations APPEND_PUNCTUATIONS] [--threads THREADS]
audio [audio ...]
positional arguments:
audio audio file(s) to transcribe
optional arguments:
-h, --help show this help message and exit
--model {tiny.en,tiny,base.en,base,small.en,small,medium.en,medium,large-v1,large-v2,large}
name of the Whisper model to use (default: small)
--model_dir MODEL_DIR
the path to save model files; uses ~/.cache/whisper by
default (default: None)
--device DEVICE device to use for PyTorch inference (default: cpu)
--output_dir OUTPUT_DIR, -o OUTPUT_DIR
directory to save the outputs (default: .)
--output_format {txt,vtt,srt,tsv,json,all}, -f {txt,vtt,srt,tsv,json,all}
format of the output file; if not specified, all
available formats will be produced (default: all)
--verbose VERBOSE whether to print out the progress and debug messages
(default: True)
--task {transcribe,translate}
whether to perform X->X speech recognition
('transcribe') or X->English translation ('translate')
(default: transcribe)
--language {af,am,ar,as,az,ba,be,bg,bn,bo,br,bs,ca,cs,cy,da,de,el,en,es,et,eu,fa,fi,fo,fr,gl,gu,ha,haw,he,hi,hr,ht,hu,hy,id,is,it,ja,jw,ka,kk,km,kn,ko,la,lb,ln,lo,lt,lv,mg,mi,mk,ml,mn,mr,ms,mt,my,ne,nl,nn,no,oc,pa,pl,ps,pt,ro,ru,sa,sd,si,sk,sl,sn,so,sq,sr,su,sv,sw,ta,te,tg,th,tk,tl,tr,tt,uk,ur,uz,vi,yi,yo,zh,Afrikaans,Albanian,Amharic,Arabic,Armenian,Assamese,Azerbaijani,Bashkir,Basque,Belarusian,Bengali,Bosnian,Breton,Bulgarian,Burmese,Castilian,Catalan,Chinese,Croatian,Czech,Danish,Dutch,English,Estonian,Faroese,Finnish,Flemish,French,Galician,Georgian,German,Greek,Gujarati,Haitian,Haitian Creole,Hausa,Hawaiian,Hebrew,Hindi,Hungarian,Icelandic,Indonesian,Italian,Japanese,Javanese,Kannada,Kazakh,Khmer,Korean,Lao,Latin,Latvian,Letzeburgesch,Lingala,Lithuanian,Luxembourgish,Macedonian,Malagasy,Malay,Malayalam,Maltese,Maori,Marathi,Moldavian,Moldovan,Mongolian,Myanmar,Nepali,Norwegian,Nynorsk,Occitan,Panjabi,Pashto,Persian,Polish,Portuguese,Punjabi,Pushto,Romanian,Russian,Sanskrit,Serbian,Shona,Sindhi,Sinhala,Sinhalese,Slovak,Slovenian,Somali,Spanish,Sundanese,Swahili,Swedish,Tagalog,Tajik,Tamil,Tatar,Telugu,Thai,Tibetan,Turkish,Turkmen,Ukrainian,Urdu,Uzbek,Valencian,Vietnamese,Welsh,Yiddish,Yoruba}
language spoken in the audio, specify None to perform
language detection (default: None)
--temperature TEMPERATURE
temperature to use for sampling (default: 0)
--best_of BEST_OF number of candidates when sampling with non-zero
temperature (default: 5)
--beam_size BEAM_SIZE
number of beams in beam search, only applicable when
temperature is zero (default: 5)
--patience PATIENCE optional patience value to use in beam decoding, as in
https://arxiv.org/abs/2204.05424, the default (1.0) is
equivalent to conventional beam search (default: None)
--length_penalty LENGTH_PENALTY
optional token length penalty coefficient (alpha) as
in https://arxiv.org/abs/1609.08144, uses simple
length normalization by default (default: None)
--suppress_tokens SUPPRESS_TOKENS
comma-separated list of token ids to suppress during
sampling; '-1' will suppress most special characters
except common punctuations (default: -1)
--initial_prompt INITIAL_PROMPT
optional text to provide as a prompt for the first
window. (default: None)
--condition_on_previous_text CONDITION_ON_PREVIOUS_TEXT
if True, provide the previous output of the model as a
prompt for the next window; disabling may make the
text inconsistent across windows, but the model
becomes less prone to getting stuck in a failure loop
(default: True)
--fp16 FP16 whether to perform inference in fp16; True by default
(default: True)
--temperature_increment_on_fallback TEMPERATURE_INCREMENT_ON_FALLBACK
temperature to increase when falling back when the
decoding fails to meet either of the thresholds below
(default: 0.2)
--compression_ratio_threshold COMPRESSION_RATIO_THRESHOLD
if the gzip compression ratio is higher than this
value, treat the decoding as failed (default: 2.4)
--logprob_threshold LOGPROB_THRESHOLD
if the average log probability is lower than this
value, treat the decoding as failed (default: -1.0)
--no_speech_threshold NO_SPEECH_THRESHOLD
if the probability of the <|nospeech|> token is higher
than this value AND the decoding has failed due to
`logprob_threshold`, consider the segment as silence
(default: 0.6)
--word_timestamps WORD_TIMESTAMPS
(experimental) extract word-level timestamps and
refine the results based on them (default: False)
--prepend_punctuations PREPEND_PUNCTUATIONS
if word_timestamps is True, merge these punctuation
symbols with the next word (default: "'“¿([{-)
--append_punctuations APPEND_PUNCTUATIONS
if word_timestamps is True, merge these punctuation
symbols with the previous word (default:
"'.。,，!！?？:：”)]}、)
--threads THREADS number of threads used by torch for CPU inference;
supercedes MKL_NUM_THREADS/OMP_NUM_THREADS (default:
0)