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nicknaskida /incredibly-fast-whisper:9613f673
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| audio |
string
|
Audio file
|
|
| task |
string
(enum)
|
transcribe
Options: transcribe, translate |
Task to perform: transcribe or translate to another language.
|
| language |
string
(enum)
|
None
Options: None, afrikaans, albanian, amharic, arabic, armenian, assamese, azerbaijani, bashkir, basque, belarusian, bengali, bosnian, breton, bulgarian, cantonese, catalan, chinese, croatian, czech, danish, dutch, english, estonian, faroese, finnish, french, galician, georgian, german, greek, gujarati, haitian creole, hausa, hawaiian, hebrew, hindi, hungarian, icelandic, indonesian, italian, japanese, javanese, kannada, kazakh, khmer, korean, lao, latin, latvian, lingala, lithuanian, luxembourgish, macedonian, malagasy, malay, malayalam, maltese, maori, marathi, mongolian, myanmar, nepali, norwegian, nynorsk, occitan, pashto, persian, polish, portuguese, punjabi, romanian, russian, sanskrit, serbian, shona, sindhi, sinhala, slovak, slovenian, somali, spanish, sundanese, swahili, swedish, tagalog, tajik, tamil, tatar, telugu, thai, tibetan, turkish, turkmen, ukrainian, urdu, uzbek, vietnamese, welsh, yiddish, yoruba |
Language spoken in the audio, specify 'None' to perform language detection.
|
| batch_size |
integer
|
24
|
Number of parallel batches you want to compute. Reduce if you face OOMs.
|
| timestamp |
string
(enum)
|
chunk
Options: chunk, word |
Whisper supports both chunked as well as word level timestamps.
|
| diarise_audio |
boolean
|
False
|
Use Pyannote.audio to diarise the audio clips. You will need to provide hf_token below too.
|
| num_speakers |
integer
|
Min: 1 |
Exact number of speakers present in the audio file. Useful when the exact number of participants in the conversation is known. Must be at least 1. Cannot be used together with min_speakers or max_speakers. (default: None)
|
| min_speakers |
integer
|
Min: 1 |
Minimum number of speakers system should consider in audio file. Must be at least 1. Cannot be used together with num_speakers and be greater than max_speakers. (default: None)
|
| max_speakers |
integer
|
Min: 1 |
Maximum number of speakers system should consider in audio file. Must be at least 1. Cannot be used together with num_speakers and be less than min_speakers. (default: None)
|
| hf_token |
string
|
Provide a hf.co/settings/token for Pyannote.audio to diarise the audio clips. You need to agree to the terms in 'https://huggingface.co/pyannote/speaker-diarization-3.1' and 'https://huggingface.co/pyannote/segmentation-3.0' first.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'title': 'Output'}